如何在nltk中用hunpos标记文本文件? [英] How do I tag textfiles with hunpos in nltk?
问题描述
有人可以帮我用hunpos标记nltk中的语料库的语法吗?
Can someone help me with the syntax for hunpos tagging a corpus in nltk?
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How do I HunPosTag the corpus? See the code below.
import nltk from nltk.corpus import PlaintextCorpusReader from nltk.corpus.util import LazyCorpusLoader corpus_root = './' reader = PlaintextCorpusReader (corpus_root, '.*') ntuen = LazyCorpusLoader ('ntumultien', PlaintextCorpusReader, reader) ntuen.fileids() isinstance (ntuen, PlaintextCorpusReader) # So how do I hunpos tag `ntuen`? I can't get the following code to work. # please help me to correct my python syntax errors, I'm new to python # but i really need this to work. sorry ##from nltk.tag import hunpos.HunPosTagger ht = HunPosTagger('english.model') for sentence in ntu.sent() ##looping through the no. of sentence ht.tag(ntusent()[i])
推荐答案
import nltk from nltk.tag.hunpos import HunposTagger from nltk.tokenize import word_tokenize corpus = "so how do i hunpos tag my ntuen ? i can't get the following code to work." #please help me to correct my python syntax errors, i'm new to python #but i really need this to work. sorry ##from nltk.tag import hunpos.HunPosTagger ht = HunposTagger('en_wsj.model') print ht.tag(word_tokenize(corpus))
我觉得问题在于您没有对单词进行标记,但是还有其他原因可能导致代码无法正常工作(它是HunposTagger,而不是HunPosTagger).我根据您的问题做了一个简化的示例.如果您还有其他问题,请发表评论.
I feel like the problem is you're not tokenizing the words, but there are other reasons the code may not work (it's HunposTagger, not HunPosTagger). I made this simplified example from your question. If you have any more questions please post a comment.
我从这里获得了所有内容: http://code.google.com/p/hunpos/
I got everything from here: http://code.google.com/p/hunpos/
python hunpos.py
python hunpos.py
[('so','RB'),('how','WRB'),('do','VBP'),('i','FW'),('hunpos',' NN'),('tag','NN'),('my','PRP $'),('ntuen','NN'),('?','.'),('i', 'FW'),('ca','MD'),('n't','RB'),('get','VB'),('the','DT'),(' ','JJ'),('code','NN'),('to','TO'),('work','VB'),('.','.')]
[('so', 'RB'), ('how', 'WRB'), ('do', 'VBP'), ('i', 'FW'), ('hunpos', 'NN'), ('tag', 'NN'), ('my', 'PRP$'), ('ntuen', 'NN'), ('?', '.'), ('i', 'FW'), ('ca', 'MD'), ("n't", 'RB'), ('get', 'VB'), ('the', 'DT'), ('following', 'JJ'), ('code', 'NN'), ('to', 'TO'), ('work', 'VB'), ('.', '.')]
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