Coverage for nltk.corpus.reader.sinica_treebank : 60%
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# Natural Language Toolkit: Sinica Treebank Reader # # Copyright (C) 2001-2012 NLTK Project # Author: Steven Bird <sb@ldc.upenn.edu> # URL: <http://www.nltk.org/> # For license information, see LICENSE.TXT
Sinica Treebank Corpus Sample
http://rocling.iis.sinica.edu.tw/CKIP/engversion/treebank.htm
10,000 parsed sentences, drawn from the Academia Sinica Balanced Corpus of Modern Chinese. Parse tree notation is based on Information-based Case Grammar. Tagset documentation is available at http://www.sinica.edu.tw/SinicaCorpus/modern_e_wordtype.html
Language and Knowledge Processing Group, Institute of Information Science, Academia Sinica
It is distributed with the Natural Language Toolkit under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike License [http://creativecommons.org/licenses/by-nc-sa/2.5/].
References:
Feng-Yi Chen, Pi-Fang Tsai, Keh-Jiann Chen, and Chu-Ren Huang (1999) The Construction of Sinica Treebank. Computational Linguistics and Chinese Language Processing, 4, pp 87-104.
Huang Chu-Ren, Keh-Jiann Chen, Feng-Yi Chen, Keh-Jiann Chen, Zhao-Ming Gao, and Kuang-Yu Chen. 2000. Sinica Treebank: Design Criteria, Annotation Guidelines, and On-line Interface. Proceedings of 2nd Chinese Language Processing Workshop, Association for Computational Linguistics.
Chen Keh-Jiann and Yu-Ming Hsieh (2004) Chinese Treebanks and Grammar Extraction, Proceedings of IJCNLP-04, pp560-565. """
""" Reader for the sinica treebank. """ sent = stream.readline() sent = IDENTIFIER.sub('', sent) sent = APPENDIX.sub('', sent) return [sent]
return nltk.tree.sinica_parse(sent)
tagged_sent = [(w,t) for (t,w) in TAGWORD.findall(sent)] if simplify_tags: tagged_sent = [(w, self._tag_mapping_function(t)) for (w,t) in tagged_sent] return tagged_sent
return WORD.findall(sent) |