:jddlmZddZy))wordnetNct||tj||}|r,|Dcgc]!}t|j |k(s |#}}|syt |fd}|Scc}w)aReturn 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. :param str lang: WordNet language. :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('depository_financial_institution.n.01') [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 N)langcptj|jjS)N)len intersection definitionsplit)sscontexts ]/home/mcse/projects/srt_converter/srt-converter-venv/lib/python3.12/site-packages/nltk/wsd.pyzlesk..1s&G$8$89N9N9P$Q R)key)setrsynsetsstrposmax)context_sentenceambiguous_wordrrrr senser s @r leskr so2"#G//.t< '@"3rvvx=C+?2@@  R E LAs !A)A))NNeng) nltk.corpusrrrr rs 'r