ó ů`]c@s#ddlmZddd„ZdS(i˙˙˙˙(twordnetcs”t|ƒ‰|dkr*tj|ƒ}n|rdg|D]$}t|jƒƒ|kr7|^q7}n|sndSt‡fd†|Dƒƒ\}}|S(sÜReturn a synset for an ambiguous word in a context. :param iter context_sentence: The context sentence where the ambiguous word occurs, passed as an iterable of words. :param str ambiguous_word: The ambiguous word that requires WSD. :param str pos: A specified Part-of-Speech (POS). :param iter synsets: Possible synsets of the ambiguous word. :return: ``lesk_sense`` The Synset() object with the highest signature overlaps. This function is an implementation of the original Lesk algorithm (1986) [1]. Usage example:: >>> lesk(['I', 'went', 'to', 'the', 'bank', 'to', 'deposit', 'money', '.'], 'bank', 'n') Synset('savings_bank.n.02') [1] Lesk, Michael. "Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone." Proceedings of the 5th Annual International Conference on Systems Documentation. ACM, 1986. http://dl.acm.org/citation.cfm?id=318728 c3s6|],}tˆj|jƒjƒƒƒ|fVqdS(N(tlent intersectiont definitiontsplit(t.0tss(tcontext(s'lib/python2.7/site-packages/nltk/wsd.pys 0sN(tsettNoneRtsynsetststrtpostmax(tcontext_sentencetambiguous_wordR R Rt_tsense((Rs'lib/python2.7/site-packages/nltk/wsd.pytlesk s  4N(t nltk.corpusRR R(((s'lib/python2.7/site-packages/nltk/wsd.pyt s