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venv/lib/python3.7/site-packages/nltk/stem/wordnet.py

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+# Natural Language Toolkit: WordNet stemmer interface
+#
+# Copyright (C) 2001-2019 NLTK Project
+# Author: Steven Bird <stevenbird1@gmail.com>
+#         Edward Loper <edloper@gmail.com>
+# URL: <http://nltk.org/>
+# For license information, see LICENSE.TXT
+from __future__ import unicode_literals
+
+from nltk.corpus.reader.wordnet import NOUN
+from nltk.corpus import wordnet
+from nltk.compat import python_2_unicode_compatible
+
+
+@python_2_unicode_compatible
+class WordNetLemmatizer(object):
+    """
+    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 __init__(self):
+        pass
+
+    def lemmatize(self, word, pos=NOUN):
+        lemmas = wordnet._morphy(word, pos)
+        return min(lemmas, key=len) if lemmas else word
+
+    def __repr__(self):
+        return '<WordNetLemmatizer>'
+
+
+# unload wordnet
+def teardown_module(module=None):
+    from nltk.corpus import wordnet
+
+    wordnet._unload()