Brill 标记器模块的nltk
代码库正在进行一些重组,请参阅https://github.com/nltk/nltk/commits/develop/nltk/tag/brill.py
目前 Brill 标注器演示位于https://github.com/nltk/nltk/blob/develop/nltk/tbl/demo.py
中,因此在代码中:
import nltk
nltk.tbl.demo()
恐怕这也行不通。 我在map_tag
上收到导入错误:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Compilers\Python\lib\site-packages\nltk\__init__.py", line 128, in <module>
from nltk.chunk import *
File "C:\Compilers\Python\lib\site-packages\nltk\chunk\__init__.py", line 157, in <module>
from nltk.chunk.api import ChunkParserI
File "C:\Compilers\Python\lib\site-packages\nltk\chunk\api.py", line 15, in <module>
from nltk.chunk.util import ChunkScore
File "C:\Compilers\Python\lib\site-packages\nltk\chunk\util.py", line 13, in <module>
from nltk.tag.mapping import map_tag
File "C:\Compilers\Python\lib\site-packages\nltk\tag\__init__.py", line 68, in <module>
from nltk.tag.brill import BrillTagger
File "C:\Compilers\Python\lib\site-packages\nltk\tag\brill.py", line 16, in <module>
from nltk.tbl import Feature, Template
File "C:\Compilers\Python\lib\site-packages\nltk\tbl\__init__.py", line 29, in <module>
from nltk.tbl.demo import demo
File "C:\Compilers\Python\lib\site-packages\nltk\tbl\demo.py", line 18, in <module>
from nltk.corpus import treebank
File "C:\Compilers\Python\lib\site-packages\nltk\corpus\__init__.py", line 66, in <module>
from nltk.corpus.reader import *
File "C:\Compilers\Python\lib\site-packages\nltk\corpus\reader\__init__.py", line 59, in <module>
from nltk.corpus.reader.tagged import *
File "C:\Compilers\Python\lib\site-packages\nltk\corpus\reader\tagged.py", line 18, in <module>
from nltk.tag import str2tuple, map_tag
ImportError: cannot import name 'map_tag'
嘿,我没有收到这个错误,使用 python v2.7.10。 你用的是什么版本? 这是我的输出:
>>> import nltk
>>> from nltk.tbl import demo as issue1828
>>> issue1828.demo()
Loading tagged data from treebank...
Read testing data (200 sents/5251 wds)
Read training data (800 sents/19933 wds)
Read baseline data (800 sents/19933 wds) [reused the training set]
Trained baseline tagger
Accuracy on test set: 0.8345
Training tbl tagger...
TBL train (fast) (seqs: 800; tokens: 19933; tpls: 24; min score: 3; min acc: None)
Finding initial useful rules...
Found 12960 useful rules.
B |
S F r O | Score = Fixed - Broken
c i o t | R Fixed = num tags changed incorrect -> correct
o x k h | u Broken = num tags changed correct -> incorrect
r e e e | l Other = num tags changed incorrect -> incorrect
e d n r | e
------------------+-------------------------------------------------------
23 23 0 0 | POS->VBZ if Pos:PRP@[-2,-1]
16 17 1 0 | NN->VB if Pos:-NONE-@[-2] & Pos:TO@[-1]
15 16 1 0 | VBN->VBD if Pos:PRP@[-1]
12 12 0 0 | VBP->VB if Pos:MD@[-2,-1]
等等...
感谢@campionfellin验证。
@MrDupin您能否向我们提供您的版本详细信息以便我们为您提供帮助?
此外,我认为最好将此演示添加到nltk/test/unit
中的unittest
之一,以便可以在自动化 CI 测试中测试此演示的功能。 有人愿意吗?
@stevenbird我们也应该在https://github.com/nltk/nltk_book/edit/master/book/ch05.rst上更改在线图书的代码。
@campionfellin所做的工作。 谢谢!
也许这本书应该而不是nltk.tag.brill.demo()
是:
from nltk.tbl import demo as brill_tagger
brill_tagger.demo()
在 #2099 的单元测试中添加了演示
最有用的评论
@campionfellin所做的工作。 谢谢!
也许这本书应该而不是
nltk.tag.brill.demo()
是: