本文整理匯總了Python中nltk.corpus.reader.ChunkedCorpusReader.chunked_words方法的典型用法代碼示例。如果您正苦於以下問題：Python ChunkedCorpusReader.chunked_words方法的具體用法？Python ChunkedCorpusReader.chunked_words怎麽用？Python ChunkedCorpusReader.chunked_words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類nltk.corpus.reader.ChunkedCorpusReader的用法示例。
在下文中一共展示了ChunkedCorpusReader.chunked_words方法的2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: chunked_words
# 需要導入模塊: from nltk.corpus.reader import ChunkedCorpusReader [as 別名]
# 或者: from nltk.corpus.reader.ChunkedCorpusReader import chunked_words [as 別名]
def chunked_words(self, fileids=None, categories=None):
return ChunkedCorpusReader.chunked_words(
self, self._resolve(fileids, categories))示例2: Tree
# 需要導入模塊: from nltk.corpus.reader import ChunkedCorpusReader [as 別名]
# 或者: from nltk.corpus.reader.ChunkedCorpusReader import chunked_words [as 別名]
########## CHUNKED CORPUS READER ###############
###Implementing CCR
from nltk.corpus.reader import ChunkedCorpusReader
root="C:\\Users\\Matrix\\AppData\\Roaming\\nltk_data\\corpora\\cookbook\\"
reader=ChunkedCorpusReader(root,r'.*\.chunk')
#Each chunk-represented in braces is considered as a word
print reader.chunked_words()
#Each sentence will be included in a Tree()
print reader.chunked_sents()
print reader.chunked_paras()
#Getting tagged tokens for each chunk (each chunk is a word but each word is not a chunk)
print reader.chunked_words()[0].leaves()
print reader.chunked_sents()[1].leaves()
#Cant apply leaves directly to a para - but we can access a sentence of a given para.
print reader.chunked_para()[0][0].leaves()
###Implementing CCCR
from nltk.corpus.reader import ConllChunkCorpusReader
root="C:\\Users\\Matrix\\AppData\\Roaming\\nltk_data\\corpora\\cookbook\\"
reader=ConllChunkCorpusReader(root,r'.*\.iob',('NP','VP'.'PP'))
print reader.chunked_words()
print reader.chunked_sents()
print reader.iob_words()
print reader.iob_sents()