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Python wordnet.Lemma方法代碼示例

本文整理匯總了Python中nltk.corpus.reader.wordnet.Lemma方法的典型用法代碼示例。如果您正苦於以下問題:Python wordnet.Lemma方法的具體用法?Python wordnet.Lemma怎麽用?Python wordnet.Lemma使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在nltk.corpus.reader.wordnet的用法示例。


在下文中一共展示了wordnet.Lemma方法的6個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: lemma

# 需要導入模塊: from nltk.corpus.reader import wordnet [as 別名]
# 或者: from nltk.corpus.reader.wordnet import Lemma [as 別名]
def lemma(name):
	"""emulates wn.lemma"""
	chunks = name.split('.')
	i = 3
	success = 0
	while not success:
		try:
			synsetname = '.'.join(chunks[:i])
			lemmas = data._synset2lemmas[synsetname]
			success = 1
		except KeyError:
			i += 1
	if name in lemmas:
		lemmaname = '.'.join(chunks[i:])
		return _lemma(lemmaname, synset(synsetname))
	raise WordNetError('Lemma ' + name + ' Not Found') 
開發者ID:mkhodak,項目名稱:pawn,代碼行數:18,代碼來源:wordnet.py

示例2: synsets

# 需要導入模塊: from nltk.corpus.reader import wordnet [as 別名]
# 或者: from nltk.corpus.reader.wordnet import Lemma [as 別名]
def synsets(token, pos='anrsv'):
	"""emulates wn.synsets"""
	morph = morphy(token)
	if morph:
		return [wn.synset(name) for name in data._word2synsets[morph] if name.split('.')[-2] in pos]
	return []


###############################################################################
################ Lemma Wrapper, Replacement, and Access Methods ###############
###############################################################################


# instantiation of Lemma object 
開發者ID:mkhodak,項目名稱:pawn,代碼行數:16,代碼來源:wordnet.py

示例3: _lemma

# 需要導入模塊: from nltk.corpus.reader import wordnet [as 別名]
# 或者: from nltk.corpus.reader.wordnet import Lemma [as 別名]
def _lemma(name, synset):
	language = data._language
	synset_name = synset.name()
	for lemma_name, lemma in _lemmas[language][synset_name].items():
		if name == lemma_name:
			return lemma
	lemma = Lemma(WordNetCorpusReader, synset, name, 0, 0, None)
	_lemmas[language][synset_name][name] = lemma
	return lemma


# replacement for 'lemmas' method of class 'Synset' 
開發者ID:mkhodak,項目名稱:pawn,代碼行數:14,代碼來源:wordnet.py

示例4: _synset_lemma_names

# 需要導入模塊: from nltk.corpus.reader import wordnet [as 別名]
# 或者: from nltk.corpus.reader.wordnet import Lemma [as 別名]
def _synset_lemma_names(self):
	if data._language == 'en':
		return self._lemma_names
	return [name for name in data._synset2lemmas.get(self.name(), [])]


# wrapper for lexical relation functions of class 'Lemma' 
開發者ID:mkhodak,項目名稱:pawn,代碼行數:9,代碼來源:wordnet.py

示例5: _lexical_relation_wrapper

# 需要導入模塊: from nltk.corpus.reader import wordnet [as 別名]
# 或者: from nltk.corpus.reader.wordnet import Lemma [as 別名]
def _lexical_relation_wrapper(func):
	def wrapper(self):
		if data._language == 'en':
			return func(self)
		return sum((lemma2.synset().lemmas() for lemma1 in wn.synset(self._PWN_name)._lemmas for lemma2 in func(lemma1)), [])
	return wrapper


# replacement for 'count' method of class 'Lemma' 
開發者ID:mkhodak,項目名稱:pawn,代碼行數:11,代碼來源:wordnet.py

示例6: _synset_relations

# 需要導入模塊: from nltk.corpus.reader import wordnet [as 別名]
# 或者: from nltk.corpus.reader.wordnet import Lemma [as 別名]
def _synset_relations(word, synset, synset_relations):
    '''
    Builds the HTML string for the relations of a synset

    :param word: The current word
    :type word: str
    :param synset: The synset for which we're building the relations.
    :type synset: Synset
    :param synset_relations: synset keys and relation types for which to display relations.
    :type synset_relations: dict(synset_key, set(relation_type))
    :return: The HTML for a synset's relations
    :rtype: str
    '''

    if not synset.name() in synset_relations:
        return ""
    ref = Reference(word, synset_relations)

    def relation_html(r):
        if isinstance(r, Synset):
            return make_lookup_link(Reference(r.lemma_names()[0]), r.lemma_names()[0])
        elif isinstance(r, Lemma):
            return relation_html(r.synset())
        elif isinstance(r, tuple):
            # It's probably a tuple containing a Synset and a list of
            # similar tuples.  This forms a tree of synsets.
            return "%s\n<ul>%s</ul>\n" % \
                (relation_html(r[0]),
                 ''.join('<li>%s</li>\n' % relation_html(sr) for sr in r[1]))
        else:
            raise TypeError("r must be a synset, lemma or list, it was: type(r) = %s, r = %s" % (type(r), r))

    def make_synset_html(db_name, disp_name, rels):
        synset_html = '<i>%s</i>\n' % \
            make_lookup_link(
                copy.deepcopy(ref).toggle_synset_relation(synset, db_name).encode(),
                disp_name)

        if db_name in ref.synset_relations[synset.name()]:
             synset_html += '<ul>%s</ul>\n' % \
                ''.join("<li>%s</li>\n" % relation_html(r) for r in rels)

        return synset_html

    html = '<ul>' + \
        '\n'.join(("<li>%s</li>" % make_synset_html(*rel_data) for rel_data
                   in get_relations_data(word, synset)
                   if rel_data[2] != [])) + \
        '</ul>'

    return html 
開發者ID:Thejas-1,項目名稱:Price-Comparator,代碼行數:53,代碼來源:wordnet_app.py


注:本文中的nltk.corpus.reader.wordnet.Lemma方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。