# German confusion sets # Line format: see en/confusion_sets.txt # Run ConfusionSetLoaderTest.testConfusionSetSpelling after adding words to spell check all entries. Genre -> Gerne; 1000; # p=1.000, r=0.588, f0.5=0.877, s=1.000, 1906+51, 3grams, 2021-11-08, fp=0, fn=21, tp=30, tn=1906, {wikipedia=2002}, {wikipedia=2002} Hafen -> Harfen; 100; # p=1.000, r=0.198, f0.5=0.552, 862+506, 3grams, 2020-03-22 #Harfen -> Hafen; 10000000; # p=0.953, r=0.329, f0.5=0.691, 506+862, 3grams, 2020-03-22 Gbit -> Gibt; 100; # p=1.000, r=1.000, f0.5=1.000, 36+137, 3grams, 2020-02-01 Gibt -> Gbit; 100; # p=1.000, r=0.861, f0.5=0.969, 137+36, 3grams, 2020-02-01 #ach -> auch; 10000000 # p=0.998 r=0.746 f0.5=0.935 25+889 2020-03-16 f0.1=0.99 FA/10k=0.040 (commented due to sample size < 30) #als -> also; 10 # p=0.989 r=0.438 f0.5=0.791 833+858 2020-03-16 f0.1=0.98 FA/10k=0.292 (commented due to precision < 0.99) #also -> als; 10000000 # p=0.980 r=0.288 f0.5=0.662 858+833 2020-03-16 f0.1=0.96 FA/10k=0.532 (commented due to precision < 0.99) #De -> Die; 10000000 # p=0.998 r=0.692 f0.5=0.917 114+734 2020-03-16 f0.1=0.99 FA/10k=0.047 (commented due to estimated false alarms rate > 0.025) #Die -> De; 100 # p=1.000 r=0.491 f0.5=0.828 734+114 2020-03-16 f0.1=0.99 FA/10k=0.000 #dich -> doch; 1000; # p=0.963, r=0.830, f0.5=0.933, 918+827, 3grams, 2020-03-16 #dich -> doch; 10000; # p=0.976, r=0.750, f0.5=0.921, 918+827, 3grams, 2020-03-16 #dich -> doch; 100000; # p=0.983, r=0.681, f0.5=0.903, 918+827, 3grams, 2020-03-16 #dich -> doch; 1000000; # p=0.992, r=0.571, f0.5=0.864, 918+827, 3grams, 2020-03-16 #dich -> doch; 10000000; # p=0.995, r=0.486, f0.5=0.823, 918+827, 3grams, 2020-03-16 #dich -> doch; 1000000000; # p=0.992, r=0.310, f0.5=0.689, s=0.998, 918+827, 3grams, 2020-09-04 #doch -> dich; 1000 # p=1.000 r=0.558 f0.5=0.863 827+918 2020-03-16 f0.1=0.99 FA/10k=0.000 #dich -> dir; 10000 # p=0.997 r=0.621 f0.5=0.889 888+932 2020-03-16 f0.1=0.99 FA/10k=0.001 #dir -> dich; 1000 # p=0.998 r=0.590 f0.5=0.877 932+888 2020-03-16 f0.1=0.99 FA/10k=0.001 #drei -> frei; 100000 # p=1.000 r=0.449 f0.5=0.803 750+855 2020-03-16 f0.1=0.99 FA/10k=0.000 #frei -> drei; 100000 # p=1.000 r=0.741 f0.5=0.935 855+750 2020-03-16 f0.1=1.00 FA/10k=0.000 #ehelich -> ehrlich; 10 # p=1.000 r=0.942 f0.5=0.988 8+191 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #ehrlich -> ehelich; 100 # p=1.000 r=0.250 f0.5=0.625 191+8 2020-03-16 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 30) fielen -> vielen; 1000000 # p=0.997 r=0.819 f0.5=0.956 896+891 2020-03-16 f0.1=0.99 FA/10k=0.002 #vielen -> fielen; 10 # p=0.996 r=0.916 f0.5=0.979 891+896 2020-03-16 f0.1=1.00 FA/10k=0.003 #fiele -> viele; 100 # p=0.999 r=0.941 f0.5=0.986 13+710 2020-03-16 f0.1=1.00 FA/10k=0.001 (commented due to sample size < 30) #viele -> fiele; 1000 # p=1.000 r=0.154 f0.5=0.476 710+13 2020-03-16 f0.1=0.95 FA/10k=0.000 (commented due to sample size < 30) fiel -> viel; 10000 # p=0.996 r=0.888 f0.5=0.973 986+947 2020-03-16 f0.1=0.99 FA/10k=0.006 viel -> fiel; 10 # p=0.999 r=0.743 f0.5=0.934 947+986 2020-03-16 f0.1=1.00 FA/10k=0.002 #Gebäck -> Gepäck; 100000 # p=1.000 r=0.414 f0.5=0.779 52+133 2020-03-16 f0.1=0.99 FA/10k=0.000 Gepäck -> Gebäck; 100 # p=1.000 r=0.250 f0.5=0.625 133+52 2020-03-16 f0.1=0.97 FA/10k=0.000 #Gerten -> Gärten; 10 # p=1.000 r=0.903 f0.5=0.979 2+536 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #gesellt -> gestellt; 10 # p=1.000 r=0.883 f0.5=0.974 11+990 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #gestellt -> gesellt; 100 # p=1.000 r=1.000 f0.5=1.000 990+11 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Hefe -> Hefte; 1000 # p=1.000 r=0.495 f0.5=0.830 89+190 2020-03-16 f0.1=0.99 FA/10k=0.000 #Hefte -> Hefe; 100 # p=1.000 r=0.348 f0.5=0.728 190+89 2020-03-16 f0.1=0.98 FA/10k=0.000 #häute -> heute; 10 # p=1.000 r=0.820 f0.5=0.958 0+721 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #ihm -> im; 10; # p=0.996, r=0.960, f0.5=0.989, 903+825, 3grams, 2020-03-16# #ihm -> im; 100; # p=1.000, r=0.949, f0.5=0.989, 903+825, 3grams, 2020-03-16 #ihm -> im; 1000; # p=1.000, r=0.933, f0.5=0.986, 903+825, 3grams, 2020-03-16 #ihm -> im; 10000; # p=1.000, r=0.898, f0.5=0.978, 903+825, 3grams, 2020-03-16 ihm -> im; 100000; # p=1.000, r=0.863, f0.5=0.969, 903+825, 3grams, 2020-03-16 #ihm -> im; 1000000; # p=1.000, r=0.833, f0.5=0.961, 903+825, 3grams, 2020-03-16 #ihm -> im; 10000000; # p=1.000, r=0.772, f0.5=0.944, 903+825, 3grams, 2020-03-16 #im -> ihm; 100 # p=0.999 r=0.956 f0.5=0.990 825+903 2020-03-16 f0.1=1.00 FA/10k=0.028 (commented due to estimated false alarms rate > 0.025) #im -> um; 10; # p=0.991, r=0.816, f0.5=0.950, 821+669, 3grams, 2020-03-16 #im -> um; 100; # p=1.000, r=0.753, f0.5=0.939, 821+669, 3grams, 2020-03-16 #im -> um; 1000; # p=1.000, r=0.682, f0.5=0.915, 821+669, 3grams, 2020-03-16 #im -> um; 10000; # p=1.000, r=0.596, f0.5=0.881, 821+669, 3grams, 2020-03-16 im -> um; 100000; # p=1.000, r=0.487, f0.5=0.826, 821+669, 3grams, 2020-03-16 #im -> um; 1000000; # p=1.000, r=0.419, f0.5=0.783, 821+669, 3grams, 2020-03-16 #im -> um; 10000000; # p=1.000, r=0.353, f0.5=0.732, 821+669, 3grams, 2020-03-16 #um -> im; 1000 # p=0.997 r=0.864 f0.5=0.967 669+821 2020-03-16 f0.1=1.00 FA/10k=0.100 (commented due to estimated false alarms rate > 0.025) #klingt -> klinkt; 1000 # p=1.000 r=1.000 f0.5=1.000 294+1 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #klinkt -> klingt; 10 # p=1.000 r=0.908 f0.5=0.980 1+294 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Laib -> Leib; 100000 # p=0.985 r=0.744 f0.5=0.925 20+258 2020-03-16 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) #Leib -> Laib; 10 # p=1.000 r=0.500 f0.5=0.833 258+20 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #Laie -> Leihe; 10 # p=1.000 r=0.429 f0.5=0.789 36+7 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #Leihe -> Laie; 100 # p=1.000 r=0.694 f0.5=0.919 7+36 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #least -> liest; 10 # p=1.000 r=0.812 f0.5=0.956 25+356 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #liest -> least; 10 # p=1.000 r=0.240 f0.5=0.612 356+25 2020-03-16 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 30) Leere -> Lehre; 100000 # p=0.998 r=0.662 f0.5=0.906 85+942 2020-03-16 f0.1=0.99 FA/10k=0.001 Lehre -> Leere; 10000 # p=1.000 r=0.329 f0.5=0.711 942+85 2020-03-16 f0.1=0.98 FA/10k=0.000 #legen -> lägen; 100 # p=1.000 r=0.292 f0.5=0.673 716+24 2020-03-16 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 30) #lägen -> legen; 10000 # p=0.998 r=0.585 f0.5=0.874 24+716 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #Lid -> Lied; 10 # p=0.999 r=0.825 f0.5=0.958 5+960 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Maar -> Mahr; 100 # p=1.000 r=0.125 f0.5=0.417 75+16 2020-03-16 f0.1=0.94 FA/10k=0.000 (commented due to sample size < 30) #Mahr -> Maar; 10 # p=1.000 r=0.573 f0.5=0.870 16+75 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #Mahl -> Mal; 100000 # p=0.976 r=0.610 f0.5=0.871 41+264 2020-03-16 f0.1=0.97 FA/10k=0.006 (commented due to precision < 0.99) #Mal -> Mahl; 1000 # p=1.000 r=0.366 f0.5=0.743 264+41 2020-03-16 f0.1=0.98 FA/10k=0.000 Mark -> Markt; 1000 # p=0.993 r=0.715 f0.5=0.921 866+954 2020-03-16 f0.1=0.99 FA/10k=0.004 Markt -> Mark; 10000 # p=1.000 r=0.305 f0.5=0.687 954+866 2020-03-16 f0.1=0.98 FA/10k=0.000 #Mathe -> Matte; 10000 # p=1.000 r=0.370 f0.5=0.746 52+27 2020-03-16 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 30) #Matte -> Mathe; 10 # p=1.000 r=0.365 f0.5=0.742 27+52 2020-03-16 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 30) Mediation -> Meditation; 10000 # p=1.000 r=0.211 f0.5=0.573 71+175 2020-03-16 f0.1=0.96 FA/10k=0.000 #mich -> mir; 10; # p=0.981, r=0.945, f0.5=0.973, 908+811, 3grams, 2020-03-16 #mich -> mir; 100; # p=0.990, r=0.896, f0.5=0.970, 908+811, 3grams, 2020-03-16 #mich -> mir; 1000; # p=0.994, r=0.815, f0.5=0.952, 908+811, 3grams, 2020-03-16 #mich -> mir; 10000; # p=0.998, r=0.725, f0.5=0.928, 908+811, 3grams, 2020-03-16 #mich -> mir; 100000; # p=0.998, r=0.644, f0.5=0.899, 908+811, 3grams, 2020-03-16 #mich -> mir; 1000000; # p=0.998, r=0.539, f0.5=0.853, 908+811, 3grams, 2020-03-16 #mich -> mir; 10000000; # p=0.997, r=0.440, f0.5=0.796, 908+811, 3grams, 2020-03-16 #mir -> mich; 10; # p=0.991, r=0.858, f0.5=0.961, 811+908, 3grams, 2020-03-16 #mir -> mich; 100; # p=1.000, r=0.780, f0.5=0.947, 811+908, 3grams, 2020-03-16 #mir -> mich; 1000; # p=1.000, r=0.671, f0.5=0.911, 811+908, 3grams, 2020-03-16 #mir -> mich; 10000; # p=1.000, r=0.566, f0.5=0.867, 811+908, 3grams, 2020-03-16 #mir -> mich; 100000; # p=1.000, r=0.430, f0.5=0.790, 811+908, 3grams, 2020-03-16 #mir -> mich; 1000000; # p=1.000, r=0.298, f0.5=0.680, 811+908, 3grams, 2020-03-16 #mir -> mich; 10000000; # p=1.000, r=0.193, f0.5=0.544, 811+908, 3grams, 2020-03-16 #Miene -> Mine; 10 # p=1.000 r=0.183 f0.5=0.528 35+126 2020-03-16 f0.1=0.96 FA/10k=0.000 Mine -> Miene; 1000 # p=1.000 r=0.829 f0.5=0.960 126+35 2020-03-16 f0.1=1.00 FA/10k=0.000 #mir -> mit; 1000 # p=0.996 r=0.807 f0.5=0.951 839+830 2020-03-16 f0.1=0.99 FA/10k=0.117 (commented due to estimated false alarms rate > 0.025) #mir -> mit; 15000000; # p=0.998, r=0.647, f0.5=0.900, 839+830, 3grams, 2020-03-26 #mit -> mir; 10; # p=0.996, r=0.917, f0.5=0.979, 830+839, 3grams, 2020-03-16 #mit -> mir; 100; # p=1.000, r=0.877, f0.5=0.973, 830+839, 3grams, 2020-03-16 #mit -> mir; 1000; # p=1.000, r=0.836, f0.5=0.962, 830+839, 3grams, 2020-03-16 #mit -> mir; 10000; # p=1.000, r=0.756, f0.5=0.939, 830+839, 3grams, 2020-03-16 #mit -> mir; 100000; # p=1.000, r=0.682, f0.5=0.915, 830+839, 3grams, 2020-03-16 #mit -> mir; 1000000; # p=1.000, r=0.615, f0.5=0.889, 830+839, 3grams, 2020-03-16 mit -> mir; 40000000; # p=1.000, r=0.521, f0.5=0.845, 830+839, 3grams, 2020-03-16 Motte -> Motto; 1000 # p=0.997 r=0.896 f0.5=0.975 70+365 2020-03-16 f0.1=1.00 FA/10k=0.000 Motto -> Motte; 10 # p=1.000 r=0.629 f0.5=0.894 365+70 2020-03-16 f0.1=0.99 FA/10k=0.000 #Nachnahme -> Nachname; 100 # p=0.981 r=0.449 f0.5=0.793 5+118 2020-03-16 f0.1=0.97 FA/10k=0.000 (commented due to precision < 0.99) #Nachname -> Nachnahme; 100 # p=1.000 r=0.400 f0.5=0.769 118+5 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #oll -> soll; 10 # p=0.999 r=0.937 f0.5=0.986 5+858 2020-03-16 f0.1=1.00 FA/10k=0.002 (commented due to sample size < 30) Patenten -> Patienten; 100000 # p=0.993 r=0.754 f0.5=0.934 36+974 2020-03-16 f0.1=0.99 FA/10k=0.002 #Rede -> Reede; 10 # p=1.000 r=0.194 f0.5=0.545 913+31 2020-03-16 f0.1=0.96 FA/10k=0.000 Reede -> Rede; 100000 # p=0.993 r=0.804 f0.5=0.949 31+913 2020-03-16 f0.1=0.99 FA/10k=0.004 #Reinfall -> Rheinfall; 10 # p=1.000 r=0.839 f0.5=0.963 10+31 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Rheinfall -> Reinfall; 10 # p=1.000 r=1.000 f0.5=1.000 31+10 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) Rezension -> Rezession; 1000 # p=1.000 r=0.312 f0.5=0.694 379+77 2020-03-16 f0.1=0.98 FA/10k=0.000 Rezession -> Rezension; 1000 # p=1.000 r=0.612 f0.5=0.888 77+379 2020-03-16 f0.1=0.99 FA/10k=0.000 #Route -> Rute; 10 # p=1.000 r=0.406 f0.5=0.774 488+32 2020-03-16 f0.1=0.99 FA/10k=0.000 Rute -> Route; 100 # p=1.000 r=0.398 f0.5=0.767 32+488 2020-03-16 f0.1=0.99 FA/10k=0.000 #Rum -> Ruhm; 10000000 # p=0.990 r=0.338 f0.5=0.714 179+296 2020-03-16 f0.1=0.97 FA/10k=0.001 scherzhaft -> schmerzhaft; 10000 # p=1.000 r=0.564 f0.5=0.866 77+39 2020-03-16 f0.1=0.99 FA/10k=0.000 schmerzhaft -> scherzhaft; 10 # p=1.000 r=0.273 f0.5=0.652 39+77 2020-03-16 f0.1=0.97 FA/10k=0.000 #Sand -> Stand; 1000000 # p=0.993 r=0.605 f0.5=0.880 684+473 2020-03-16 f0.1=0.99 FA/10k=0.003 #Stand -> Sand; 1000 # p=1.000 r=0.370 f0.5=0.746 473+684 2020-03-16 f0.1=0.98 FA/10k=0.000 #sehr -> seht; 100 # p=1.000 r=0.314 f0.5=0.696 950+35 2020-03-16 f0.1=0.98 FA/10k=0.000 seht -> sehr; 100000 # p=0.999 r=0.913 f0.5=0.980 35+950 2020-03-16 f0.1=1.00 FA/10k=0.003 seht -> sieht; 1000 # p=0.994 r=0.877 f0.5=0.968 34+964 2020-03-16 f0.1=0.99 FA/10k=0.004 sieht -> seht; 100 # p=1.000 r=0.382 f0.5=0.756 964+34 2020-03-16 f0.1=0.98 FA/10k=0.000 #Sigel -> Siegel; 10000 # p=1.000 r=0.455 f0.5=0.807 11+442 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) Sohle -> Sole; 10 # p=1.000 r=0.160 f0.5=0.488 60+75 2020-03-16 f0.1=0.95 FA/10k=0.000 Sole -> Sohle; 1000 # p=1.000 r=0.483 f0.5=0.824 75+60 2020-03-16 f0.1=0.99 FA/10k=0.000 #späht -> spät; 10 # p=0.999 r=0.981 f0.5=0.995 2+969 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #staatlichen -> stattlichen; 100 # p=1.000 r=0.235 f0.5=0.606 798+17 2020-03-16 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 30) #stattlichen -> staatlichen; 100 # p=0.996 r=0.896 f0.5=0.974 17+798 2020-03-16 f0.1=0.99 FA/10k=0.002 (commented due to sample size < 30) #staatlicher -> stattlicher; 100 # p=1.000 r=0.600 f0.5=0.882 242+5 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #stattlicher -> staatlicher; 10 # p=1.000 r=0.876 f0.5=0.972 5+242 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #staatliches -> stattliches; 100 # p=1.000 r=0.571 f0.5=0.870 62+7 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #stattliches -> staatliches; 10 # p=1.000 r=0.758 f0.5=0.940 7+62 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) staatliche -> stattliche; 10000000 # p=1.000 r=0.100 f0.5=0.357 555+30 2020-03-16 f0.1=0.92 FA/10k=0.000 stattliche -> staatliche; 10000 # p=0.997 r=0.613 f0.5=0.886 30+555 2020-03-16 f0.1=0.99 FA/10k=0.001 #staatlich -> stattlich; 100 # p=1.000 r=0.667 f0.5=0.909 394+3 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #stattlich -> staatlich; 1000 # p=1.000 r=0.805 f0.5=0.954 3+394 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Stand -> Strand; 1000 # p=1.000 r=0.355 f0.5=0.733 473+558 2020-03-16 f0.1=0.98 FA/10k=0.000 #Strand -> Stand; 10000000 # p=0.990 r=0.611 f0.5=0.881 558+473 2020-03-16 f0.1=0.98 FA/10k=0.003 #Stelle -> Ställe; 10 # p=1.000 r=0.261 f0.5=0.638 886+23 2020-03-16 f0.1=0.97 FA/10k=0.000 (commented due to sample size < 30) #Ställe -> Stelle; 100000 # p=0.994 r=0.898 f0.5=0.973 23+886 2020-03-16 f0.1=0.99 FA/10k=0.006 (commented due to sample size < 30) #Stele -> Stelle; 10000000 # p=0.966 r=0.800 f0.5=0.928 93+887 2020-03-16 f0.1=0.96 FA/10k=0.034 (commented due to precision < 0.99) Stich -> Strich; 100000 # p=1.000 r=0.301 f0.5=0.683 260+206 2020-03-16 f0.1=0.98 FA/10k=0.000 Strich -> Stich; 1000 # p=1.000 r=0.358 f0.5=0.736 206+260 2020-03-16 f0.1=0.98 FA/10k=0.000 Stiel -> Stil; 10000 # p=0.992 r=0.622 f0.5=0.886 101+961 2020-03-16 f0.1=0.99 FA/10k=0.001 Stil -> Stiel; 100 # p=1.000 r=0.149 f0.5=0.466 961+101 2020-03-16 f0.1=0.95 FA/10k=0.000 #strickt -> strikt; 10 # p=1.000 r=0.887 f0.5=0.975 8+203 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #strikt -> strickt; 1000 # p=1.000 r=0.500 f0.5=0.833 203+8 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) Uhrzeit -> Urzeit; 10000 # p=1.000 r=0.515 f0.5=0.842 116+33 2020-03-16 f0.1=0.99 FA/10k=0.000 Urzeit -> Uhrzeit; 100 # p=1.000 r=0.422 f0.5=0.785 33+116 2020-03-16 f0.1=0.99 FA/10k=0.000 #und -> uns; 100 # p=0.998 r=0.693 f0.5=0.918 590+903 2020-03-16 f0.1=0.99 FA/10k=0.224 (commented due to estimated false alarms rate > 0.025) #uns -> und; 10000000 # p=0.991 r=0.759 f0.5=0.934 903+590 2020-03-16 f0.1=0.99 FA/10k=1.007 (commented due to estimated false alarms rate > 0.025) #vage -> wage; 10 # p=1.000 r=0.905 f0.5=0.979 76+21 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #wage -> vage; 10 # p=1.000 r=0.908 f0.5=0.980 21+76 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Vasen -> Wasen; 100 # p=1.000 r=0.708 f0.5=0.924 39+24 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #Wasen -> Vasen; 1000 # p=1.000 r=0.538 f0.5=0.854 24+39 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) verwaist -> verweist; 10000000 # p=0.993 r=0.458 f0.5=0.805 180+297 2020-03-16 f0.1=0.98 FA/10k=0.001 #Villen -> Willen; 1000000 # p=0.997 r=0.843 f0.5=0.961 142+699 2020-03-16 f0.1=1.00 FA/10k=0.001 Willen -> Villen; 100 # p=1.000 r=0.232 f0.5=0.602 699+142 2020-03-16 f0.1=0.97 FA/10k=0.000 #Waagen -> Wagen; 10000 # p=0.998 r=0.588 f0.5=0.876 19+857 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #Waise -> Weise; 1000000 # p=0.999 r=0.792 f0.5=0.949 21+864 2020-03-16 f0.1=1.00 FA/10k=0.002 (commented due to sample size < 30) ward -> wart; 100 # p=1.000 r=0.357 f0.5=0.735 52+42 2020-03-16 f0.1=0.98 FA/10k=0.000 #wart -> ward; 1000 # p=1.000 r=0.654 f0.5=0.904 42+52 2020-03-16 f0.1=0.99 FA/10k=0.000 #waren -> warnen; 1000 # p=1.000 r=0.518 f0.5=0.843 905+114 2020-03-16 f0.1=0.99 FA/10k=0.000 #warnen -> waren; 10000000 # p=0.991 r=0.701 f0.5=0.915 114+905 2020-03-16 f0.1=0.99 FA/10k=0.030 (commented due to estimated false alarms rate > 0.025) weiht -> weit; 10000 # p=1.000 r=0.945 f0.5=0.989 42+928 2020-03-16 f0.1=1.00 FA/10k=0.000 #weit -> weiht; 10 # p=1.000 r=0.214 f0.5=0.577 928+42 2020-03-16 f0.1=0.96 FA/10k=0.000 weist -> weißt; 100 # p=0.996 r=0.929 f0.5=0.982 986+283 2020-03-16 f0.1=1.00 FA/10k=0.001 #weißt -> weist; 10 # p=0.994 r=0.909 f0.5=0.976 283+986 2020-03-16 f0.1=0.99 FA/10k=0.002 Welle -> Wälle; 100 # p=1.000 r=0.302 f0.5=0.684 764+43 2020-03-16 f0.1=0.98 FA/10k=0.000 Wälle -> Welle; 100000 # p=0.998 r=0.571 f0.5=0.868 43+764 2020-03-16 f0.1=0.99 FA/10k=0.000 wer -> wär; 100 # p=1.000 r=0.615 f0.5=0.889 171+52 2020-03-16 f0.1=0.99 FA/10k=0.000 #wär -> wer; 1000 # p=0.994 r=0.965 f0.5=0.988 52+171 2020-03-16 f0.1=0.99 FA/10k=0.002 wie -> wir; 10000000; # p=0.998, r=0.406, f0.5=0.773, s=0.999, 1913+1098, 3grams, 2021-11-24, fp=1, fn=652, tp=446, tn=1912, {wikipedia=2002}, {wikipedia=2002} wir -> wie; 10000000; # p=0.987, r=0.446, f0.5=0.794, s=0.990, 1098+1913, 3grams, 2021-11-24, fp=11, fn=1060, tp=853, tn=1087, {wikipedia=2002}, {wikipedia=2002} wir -> wird; 150000000; # p=0.984, r=0.252, f0.5=0.623, s=0.993, 1092+2000, 3grams, 2021-02-05, fp=8, fn=1496, tp=504, tn=1084, {wikipedia=2002}, {wikipedia=2002} #wird -> wir; 1000 # p=0.995 r=0.852 f0.5=0.963 884+243 2020-03-16 f0.1=0.99 FA/10k=0.095 (commented due to estimated false alarms rate > 0.025) #Würste -> Wüste; 10000 # p=0.996 r=0.571 f0.5=0.867 25+466 2020-03-16 f0.1=0.99 FA/10k=0.000 (commented due to sample size < 30) #Zeilen -> Zielen; 100000 # p=0.990 r=0.375 f0.5=0.746 407+253 2020-03-16 f0.1=0.97 FA/10k=0.002 #Zielen -> Zeilen; 100000 # p=1.000 r=0.381 f0.5=0.755 253+407 2020-03-16 f0.1=0.98 FA/10k=0.000 #Zeile -> Ziele; 1000000 # p=0.998 r=0.540 f0.5=0.853 372+976 2020-03-16 f0.1=0.99 FA/10k=0.001 #Ziele -> Zeile; 1000 # p=1.000 r=0.565 f0.5=0.866 976+372 2020-03-16 f0.1=0.99 FA/10k=0.000 #zischen -> zwischen; 1000 # p=0.999 r=0.884 f0.5=0.973 3+766 2020-03-16 f0.1=1.00 FA/10k=0.005 (commented due to sample size < 30) #Zunahme -> Zuname; 10 # p=1.000 r=0.200 f0.5=0.556 284+5 2020-03-16 f0.1=0.96 FA/10k=0.000 (commented due to sample size < 30) #Zuname -> Zunahme; 10 # p=1.000 r=0.979 f0.5=0.996 5+284 2020-03-16 f0.1=1.00 FA/10k=0.000 (commented due to sample size < 30) #aus -> auf; 1000 # p=0.997 r=0.433 f0.5=0.791 802+804 2020-03-16 f0.1=0.98 FA/10k=0.118 (commented due to estimated false alarms rate > 0.025) #auf -> aus; 1000 # p=0.984 r=0.459 f0.5=0.801 804+802 2020-03-16 f0.1=0.97 FA/10k=0.630 (commented due to precision < 0.99) #biss -> bis; 10000000 # p=0.994 r=0.801 f0.5=0.948 37+799 2020-03-16 f0.1=0.99 FA/10k=0.030 (commented due to estimated false alarms rate > 0.025) #braten -> beraten; 10000000 # p=0.981 r=0.278 f0.5=0.652 17+187 2020-03-16 f0.1=0.96 FA/10k=0.001 (commented due to precision < 0.99) #das -> dass; 10 # p=0.998 r=0.879 f0.5=0.971 538+975 2020-03-16 f0.1=1.00 FA/10k=0.073 (commented due to estimated false alarms rate > 0.025) #dass -> das; 1000000 # p=0.991 r=0.810 f0.5=0.949 975+538 2020-03-16 f0.1=0.99 FA/10k=0.329 (commented due to estimated false alarms rate > 0.025) #den -> denn; 10 # p=0.995 r=0.785 f0.5=0.945 910+834 2020-03-16 f0.1=0.99 FA/10k=0.238 (commented due to estimated false alarms rate > 0.025) #denn -> den; 1000000 # p=0.993 r=0.882 f0.5=0.968 834+910 2020-03-16 f0.1=0.99 FA/10k=0.333 (commented due to estimated false alarms rate > 0.025) #de -> die; 1000 # p=0.982 r=0.797 f0.5=0.938 565+547 2020-03-16 f0.1=0.98 FA/10k=2.323 (commented due to precision < 0.99) #die -> de; 10 # p=1.000 r=0.873 f0.5=0.972 547+565 2020-03-16 f0.1=1.00 FA/10k=0.000 #die -> sie; 10 # p=0.996 r=0.759 f0.5=0.938 559+336 2020-03-16 f0.1=0.99 FA/10k=0.564 (commented due to estimated false alarms rate > 0.025) #sie -> die; 100000 # p=1.000 r=0.606 f0.5=0.885 336+559 2020-03-16 f0.1=0.99 FA/10k=0.000 fasst -> fast; 10000000 # p=0.990 r=0.754 f0.5=0.932 311+813 2020-03-16 f0.1=0.99 FA/10k=0.011 fast -> fasst; 100 # p=1.000 r=0.341 f0.5=0.721 813+311 2020-03-16 f0.1=0.98 FA/10k=0.000 furchtbar -> fruchtbar; 10000 # p=1.000 r=0.431 f0.5=0.791 56+109 2020-03-16 f0.1=0.99 FA/10k=0.000 fruchtbar -> furchtbar; 10 # p=1.000 r=0.696 f0.5=0.920 109+56 2020-03-16 f0.1=1.00 FA/10k=0.000 Gesten -> Gestern; 10000 # p=0.996 r=0.909 f0.5=0.977 77+252 2020-03-16 f0.1=1.00 FA/10k=0.000 #Gestern -> Gesten; 10 # p=1.000 r=0.701 f0.5=0.922 252+77 2020-03-16 f0.1=1.00 FA/10k=0.000 gewaschen -> gewachsen; 1000000 # p=0.994 r=0.534 f0.5=0.848 102+311 2020-03-16 f0.1=0.99 FA/10k=0.001 gewachsen -> gewaschen; 10 # p=1.000 r=0.647 f0.5=0.902 311+102 2020-03-16 f0.1=0.99 FA/10k=0.000 Grat -> Grad; 1000000 # p=0.993 r=0.685 f0.5=0.911 51+855 2020-03-16 f0.1=0.99 FA/10k=0.001 Graf -> Graph; 100 # p=1.000 r=0.303 f0.5=0.685 927+178 2020-03-16 f0.1=0.98 FA/10k=0.000 #Graph -> Graf; 1000000 # p=0.999 r=0.728 f0.5=0.929 178+927 2020-03-16 f0.1=1.00 FA/10k=0.000 gründlich -> grünlich; 100 # p=1.000 r=0.264 f0.5=0.642 137+53 2020-03-16 f0.1=0.97 FA/10k=0.000 grünlich -> gründlich; 1000000 # p=1.000 r=0.387 f0.5=0.759 53+137 2020-03-16 f0.1=0.98 FA/10k=0.000 #hast -> hasst; 10 # p=1.000 r=0.396 f0.5=0.766 509+101 2020-03-16 f0.1=0.99 FA/10k=0.000 #hasst -> hast; 1000000 # p=0.985 r=0.880 f0.5=0.962 101+509 2020-03-16 f0.1=0.98 FA/10k=0.002 (commented due to precision < 0.99) #leeren -> lehren; 100000 # p=1.000 r=0.388 f0.5=0.760 210+152 2020-03-16 f0.1=0.98 FA/10k=0.000 lehren -> leeren; 10 # p=1.000 r=0.900 f0.5=0.978 152+210 2020-03-16 f0.1=1.00 FA/10k=0.000 #ließ -> lies; 100 # p=1.000 r=0.381 f0.5=0.755 979+21 2020-03-16 f0.1=0.98 FA/10k=0.000 (commented due to sample size < 30) #lies -> ließ; 10 # p=0.991 r=0.906 f0.5=0.973 21+979 2020-03-16 f0.1=0.99 FA/10k=0.005 (commented due to sample size < 30) Moor -> Mohr; 1000 # p=1.000 r=0.487 f0.5=0.826 203+413 2020-03-16 f0.1=0.99 FA/10k=0.000 #Mohr -> Moor; 100 # p=0.963 r=0.384 f0.5=0.740 413+203 2020-03-16 f0.1=0.95 FA/10k=0.001 (commented due to precision < 0.99) reist -> reißt; 10000 # p=1.000 r=0.256 f0.5=0.632 141+90 2020-03-16 f0.1=0.97 FA/10k=0.000 #reißt -> reist; 10 # p=0.986 r=0.496 f0.5=0.824 90+141 2020-03-16 f0.1=0.98 FA/10k=0.000 (commented due to precision < 0.99) #Saite -> Seite; 10000000 # p=0.975 r=0.413 f0.5=0.766 130+927 2020-03-16 f0.1=0.96 FA/10k=0.033 (commented due to precision < 0.99) #Seite -> Saite; 10 # p=1.000 r=0.131 f0.5=0.429 927+130 2020-03-16 f0.1=0.94 FA/10k=0.000 #seid -> seit; 10000000 # p=0.998 r=0.868 f0.5=0.969 336+947 2020-03-16 f0.1=1.00 FA/10k=0.003 #seit -> seid; 100 # p=1.000 r=0.932 f0.5=0.986 947+336 2020-03-16 f0.1=1.00 FA/10k=0.000 Städte -> Stätte; 100 # p=1.000 r=0.289 f0.5=0.670 859+97 2020-03-16 f0.1=0.98 FA/10k=0.000 Stätte -> Städte; 100000 # p=0.990 r=0.672 f0.5=0.904 97+859 2020-03-16 f0.1=0.99 FA/10k=0.003 unternehmen -> Unternehmen; 10 # p=1.000 r=0.879 f0.5=0.973 74+1000 2020-03-16 f0.1=1.00 FA/10k=0.000 Unternehmen -> unternehmen; 10000 # p=1.000 r=0.703 f0.5=0.922 1000+74 2020-03-16 f0.1=1.00 FA/10k=0.000 #wahr -> war; 10000000 # p=0.978 r=0.865 f0.5=0.953 964+961 2020-03-16 f0.1=0.98 FA/10k=0.209 (commented due to precision < 0.99) #war -> wahr; 10 # p=0.998 r=0.669 f0.5=0.909 961+964 2020-03-16 f0.1=0.99 FA/10k=0.019 #wenn -> wen; 1000 # p=1.000 r=0.424 f0.5=0.786 541+125 2020-03-16 f0.1=0.99 FA/10k=0.000 #ei -> ein; 1000000 # p=0.992 r=0.772 f0.5=0.938 45+950 2020-03-16 f0.1=0.99 FA/10k=0.151 (commented due to estimated false alarms rate > 0.025) #ein -> ei; 10 # p=1.000 r=0.133 f0.5=0.435 950+45 2020-03-16 f0.1=0.94 FA/10k=0.000 #werden -> werfen; 10 # p=1.000 r=0.233 f0.5=0.603 910+339 2020-03-16 f0.1=0.97 FA/10k=0.000 #werfen -> werden; 10000000 # p=0.955 r=0.659 f0.5=0.877 339+910 2020-03-16 f0.1=0.95 FA/10k=0.740 (commented due to precision < 0.99) Rat -> Rad; 100 # p=1.000 r=0.304 f0.5=0.685 944+481 2020-03-16 f0.1=0.98 FA/10k=0.000 #Rad -> Rat; 100000 # p=0.996 r=0.713 f0.5=0.922 481+944 2020-03-16 f0.1=0.99 FA/10k=0.001 #Wal -> Wahl; 10000000 # p=0.996 r=0.760 f0.5=0.938 143+926 2020-03-16 f0.1=0.99 FA/10k=0.002 weit -> weint; 100000; # p=1.000, r=0.167, f0.5=0.500, 928+60, 3grams, 2020-05-25 #weint -> weit; 10000000; # p=0.999, r=0.858, f0.5=0.967, 60+928, 3grams, 2020-05-25 kotet -> kostet; 100000; # p=0.996, r=0.561, f0.5=0.862, s=0.286, 7+1997, 3grams, 2022-10-16, fp=5, fn=877, tp=1120, tn=2, {wikipedia=8}, {wikipedia=2002}