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Python reader.ChunkedCorpusReader类代码示例

本文整理汇总了Python中nltk.corpus.reader.ChunkedCorpusReader的典型用法代码示例。如果您正苦于以下问题:Python ChunkedCorpusReader类的具体用法?Python ChunkedCorpusReader怎么用?Python ChunkedCorpusReader使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。


在下文中一共展示了ChunkedCorpusReader类的8个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

 def __init__(self, directory="",fileids=r"haaretz.bgu",myEncoding="utf-8"):
     ChunkedCorpusReader.__init__(self, directory ,fileids , str2chunktree=self.__str2BguTree,sent_tokenizer=RegexpTokenizer('\n\n', gaps=True),encoding=myEncoding)
     self._format = format
开发者ID:jedimonster,项目名称:nlp,代码行数:3,代码来源:BguCorpusReader.py

示例2: chunked_paras

	def chunked_paras(self, fileids=None, categories=None):
		return ChunkedCorpusReader.chunked_paras(
			self, self._resolve(fileids, categories))
开发者ID:RomanZacharia,项目名称:python_text_processing_w_nltk2_cookbook,代码行数:3,代码来源:catchunked.py

示例3: __init__

	def __init__(self, *args, **kwargs):
		CategorizedCorpusReader.__init__(self, kwargs)
		ChunkedCorpusReader.__init__(self, *args, **kwargs)
开发者ID:RomanZacharia,项目名称:python_text_processing_w_nltk2_cookbook,代码行数:3,代码来源:catchunked.py

示例4: tagged_paras

	def tagged_paras(self, fileids=None, categories=None, simplify_tags=False):
		return ChunkedCorpusReader.tagged_paras(
			self, self._resolve(fileids, categories), simplify_tags)
开发者ID:RomanZacharia,项目名称:python_text_processing_w_nltk2_cookbook,代码行数:3,代码来源:catchunked.py

示例5: sents

	def sents(self, fileids=None, categories=None):
		return ChunkedCorpusReader.sents(self, self._resolve(fileids, categories))
开发者ID:RomanZacharia,项目名称:python_text_processing_w_nltk2_cookbook,代码行数:2,代码来源:catchunked.py

示例6: Tree

########## 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()
开发者ID:bindaasamit,项目名称:pycode,代码行数:27,代码来源:tutCorpusReader03.py

示例7: createChunker

def createChunker():
    chunks = ChunkedCorpusReader('data/chunks/','text_search.pos')
    tagger_classes = [UnigramTagger, BigramTagger]
    train_chunks = chunks.chunked_sents()
    chunker = TagChunker(train_chunks, tagger_classes)
    return chunker
开发者ID:tccorcoran,项目名称:intent-recognition,代码行数:6,代码来源:makeModels.py

示例8: tagged_sents

 def tagged_sents(self, fileids=None, categories=None):
     return ChunkedCorpusReader.tagged_sents(self,self_resolve(fileids,
         categories))
开发者ID:andacsafa,项目名称:nltk_book,代码行数:3,代码来源:catchunked.py


注:本文中的nltk.corpus.reader.ChunkedCorpusReader类示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。