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| # Natural Language Toolkit: WordNet stemmer interface | |
| # | |
| # Copyright (C) 2001-2023 NLTK Project | |
| # Author: Steven Bird <[email protected]> | |
| # Edward Loper <[email protected]> | |
| # URL: <https://www.nltk.org/> | |
| # For license information, see LICENSE.TXT | |
| from nltk.corpus import wordnet as wn | |
| class WordNetLemmatizer: | |
| """ | |
| 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 | |
| """ | |
| def lemmatize(self, word: str, pos: str = "n") -> str: | |
| """Lemmatize `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`. | |
| """ | |
| lemmas = wn._morphy(word, pos) | |
| return min(lemmas, key=len) if lemmas else word | |
| def __repr__(self): | |
| return "<WordNetLemmatizer>" | |