【发布时间】:2017-07-31 22:00:53
【问题描述】:
我正在基于 Python NLTK 书(第 7 章)构建 NLP 管道。第一段代码正确地预处理了数据,但我无法通过我的 NP-chunker 运行它的输出:
import nltk, re, pprint
#Import Data
data = 'This is a test sentence to check if preprocessing works'
#Preprocessing
def preprocess(document):
sentences = nltk.sent_tokenize(document)
sentences = [nltk.word_tokenize(sent) for sent in sentences]
sentences = [nltk.pos_tag(sent) for sent in sentences]
return(sentences)
tagged = preprocess(data)
print(tagged)
#regular expression-based NP chunker
grammar = "NP: {<DT>?<JJ>*<NN>}"
cp = nltk.RegexpParser(grammar) #chunk parser
chunked = []
for s in tagged:
chunked.append(cp.parse(tagged))
print(chunked)
这是我得到的回溯:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 866, in runfile
execfile(filename, namespace)
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Users/u0084411/Box Sync/Procesmanager DH/Text Mining/Tools/NLP_pipeline.py", line 24, in <module>
chunked.append(cp.parse(tagged))
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\nltk\chunk\regexp.py", line 1202, in parse
chunk_struct = parser.parse(chunk_struct, trace=trace)
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\nltk\chunk\regexp.py", line 1017, in parse
chunkstr = ChunkString(chunk_struct)
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\nltk\chunk\regexp.py", line 95, in __init__
tags = [self._tag(tok) for tok in self._pieces]
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\nltk\chunk\regexp.py", line 95, in <listcomp>
tags = [self._tag(tok) for tok in self._pieces]
File "C:\Users\u0084411\AppData\Local\Continuum\Anaconda3\lib\site-packages\nltk\chunk\regexp.py", line 105, in _tag
raise ValueError('chunk structures must contain tagged '
ValueError: chunk structures must contain tagged tokens or trees
>>>
我的错误是什么? 'Tagged' 已标记化,那么为什么程序无法识别呢?
非常感谢! 汤姆
【问题讨论】:
-
我已经实现了这个,但是我得到了相同的回溯
-
您的
tags必须是元组或树。见nltk.org/_modules/nltk/chunk/regexp.html。 -
抱歉这个基本问题,但有没有办法将标记转换为元组或树?
-
当我将标记转换为元组时(使用 (tuple(tagged)) 问题并没有消失
标签: python-3.x nlp nltk chunking