+ hD !RR4tR#)cTa]tRt^ toRtR RltR RltR V3RlRlltRtRt Vt R#) WordNetLemmatizera WordNet Lemmatizer Provides 3 lemmatizer modes: _morphy(), morphy() and lemmatize(). lemmatize() is a permissive wrapper around _morphy(). It returns the shortest lemma found in WordNet, or the input string unchanged if nothing is found. >>> from nltk.stem import WordNetLemmatizer as wnl >>> print(wnl().lemmatize('us', 'n')) u >>> print(wnl().lemmatize('Anythinggoeszxcv')) Anythinggoeszxcv c 2^RIHpVPWV4#)z _morphy() is WordNet's _morphy lemmatizer. It returns a list of all lemmas found in WordNet. >>> from nltk.stem import WordNetLemmatizer as wnl >>> print(wnl()._morphy('us', 'n')) ['us', 'u'] wordnet) nltk.corpusr_morphyselfformposcheck_exceptionswns&&&& 3/usr/lib/python3/dist-packages/nltk/stem/wordnet.pyrWordNetLemmatizer._morphys .zz$%566Nc 2^RIHpVPWV4#)a morphy() is a restrictive wrapper around _morphy(). It returns the first lemma found in WordNet, or None if no lemma is found. >>> from nltk.stem import WordNetLemmatizer as wnl >>> print(wnl().morphy('us', 'n')) us >>> print(wnl().morphy('catss')) None r)rrmorphyr s&&&& rrWordNetLemmatizer.morphy+s .yy$455rc,<V^8dQhRS[RS[RS[/#)wordr return)str)format __classdict__s"r __annotate__WordNetLemmatizer.__annotate__<s"88c88c8rc ZVPW4pV'd\V\R7#T#)a Lemmatize `word` by picking the shortest of the possible lemmas, using the wordnet corpus reader's built-in _morphy function. Returns the input word unchanged if it cannot be found in WordNet. >>> from nltk.stem import WordNetLemmatizer as wnl >>> print(wnl().lemmatize('dogs')) dog >>> print(wnl().lemmatize('churches')) church >>> print(wnl().lemmatize('aardwolves')) aardwolf >>> print(wnl().lemmatize('abaci')) abacus >>> print(wnl().lemmatize('hardrock')) hardrock :param word: The input word to lemmatize. :type word: str :param pos: The Part Of Speech tag. Valid options are `"n"` for nouns, `"v"` for verbs, `"a"` for adjectives, `"r"` for adverbs and `"s"` for satellite adjectives. :type pos: str :return: The shortest lemma of `word`, for the given `pos`. )key)rminlen)r rr lemmass&&& r lemmatizeWordNetLemmatizer.lemmatize<s&2d('-s6s#747rcR#)z)r s&r__repr__WordNetLemmatizer.__repr__Xs$rr&)T)NT)n) __name__ __module__ __qualname____firstlineno____doc__rrr#r'__static_attributes____classdictcell__)rs@rrr s($ 76"888%%rrN)rr&rrr1sN%N%r