U L¬Üeýã@sddlmZddd„ZdS)é)ÚwordnetNcsVt|ƒ‰|dkrt |¡}ˆr0‡fdd„|Dƒ}|s8dSt‡fdd„|Dƒƒ\}}|S)aÝReturn 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. https://dl.acm.org/citation.cfm?id=318728 Ncs g|]}t| ¡ƒˆkr|‘qS©)ÚstrÚpos©Ú.0Úss)rrúg/mounts/lovelace/software/anaconda3/envs/qiime2-amplicon-2024.2/lib/python3.8/site-packages/nltk/wsd.pyÚ *szlesk..c3s(|] }tˆ | ¡ ¡¡ƒ|fVqdS)N)ÚlenÚ intersectionZ definitionÚsplitr)Úcontextrr Ú /szlesk..)ÚsetrÚsynsetsÚmax)Zcontext_sentenceZambiguous_wordrrÚ_Zsenser)rrr Úlesk s  ÿ r)NN)Z nltk.corpusrrrrrr Ú s