Coverage for nltk.stem.wordnet : 77%

# Natural Language Toolkit: WordNet stemmer interface 

# 

# Copyright (C) 2001-2012 NLTK Project 

# Author: Steven Bird <sb@csse.unimelb.edu.au> 

#         Edward Loper <edloper@gradient.cis.upenn.edu> 

# URL: <http://www.nltk.org/> 

# For license information, see LICENSE.TXT 

from nltk.corpus.reader.wordnet import NOUN 

from nltk.corpus import wordnet 

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() 

        >>> wnl.lemmatize('dogs') 

        'dog' 

        >>> wnl.lemmatize('churches') 

        'church' 

        >>> wnl.lemmatize('aardwolves') 

        'aardwolf' 

        >>> wnl.lemmatize('abaci') 

        'abacus' 

        >>> 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>' 

if __name__ == "__main__": 

    import doctest 

    doctest.testmod(optionflags=doctest.NORMALIZE_WHITESPACE)