'[fw,ddlmZGddZdS))wordnetc.eZdZdZd dededefdZdZdS) WordNetLemmatizera WordNet Lemmatizer Lemmatize using WordNet's built-in morphy function. Returns the input word unchanged if it cannot be found in WordNet. >>> from nltk.stem import WordNetLemmatizer >>> wnl = WordNetLemmatizer() >>> 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 nwordposreturnc`tj||}|rt|tn|S)aLemmatize `word` using WordNet's built-in morphy function. Returns the input word unchanged if it cannot be found in WordNet. :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. :param pos: str :return: The lemma of `word`, for the given `pos`. )key)wn_morphyminlen)selfrrlemmass E/var/www/piapp/venv/lib/python3.11/site-packages/nltk/stem/wordnet.py lemmatizezWordNetLemmatizer.lemmatize!s2D#&&'-7s6s####47cdS)Nz)rs r__repr__zWordNetLemmatizer.__repr__0s$$rN)r)__name__ __module__ __qualname____doc__strrrrrrrr s[( 8 8c 8 8c 8 8 8 8%%%%%rrN) nltk.corpusrr rrrrrsK&%%%%%%%%%%%%%%%%%%%%%%%%%r