U ew@sddlmZGdddZdS))wordnetc@s,eZdZdZd eeedddZddZdS) 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 n)wordposreturncCs t||}|rt|tdS|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)wnZ_morphyminlen)selfrrZlemmasr R/var/www/html/assets/scripts/venv/lib/python3.8/site-packages/nltk/stem/wordnet.py lemmatize!s zWordNetLemmatizer.lemmatizecCsdS)Nzr )r r r r__repr__0szWordNetLemmatizer.__repr__N)r)__name__ __module__ __qualname____doc__strrrr r r rr srN)Z nltk.corpusrr rr r r r s