tsroten
commented
9 years ago Thanks for reporting this bug. It seems like NLPIR is returning an undocumented part of speech code (I can't find any indication what gms might mean). In cases like this, the part of speech should be set to None. I'll commit a fix for this shortly.
lijianbo0130
u'\u7ea2\u70e7\u8089' Traceback (most recent call last): File "C:\Users\asus\workspace\py2\src\NLP\np\�ִ�.py", line 23, in
b=pynlpir.segment(s)
File "C:\Python27\lib\site-packages\pynlpirinit.py", line 183, in segment
pos_name = _get_pos_name(token[1], pos_names, pos_english)
File "C:\Python27\lib\site-packages\pynlpirinit.py", line 129, in _get_pos_name
pos_name = pos_map.get_pos_name(code, name, english)
File "C:\Python27\lib\site-packages\pynlpir\pos_map.py", line 183, in get_pos_name
return _get_pos_name(code, name, english)
File "C:\Python27\lib\site-packages\pynlpir\pos_map.py", line 149, in _get_pos_name
pos_code)
ValueError: part of speech not recognized: 'gms'
i do not know why that happen.
if i divide the words into three pieces there is not error but i get them into a sentence the error occur
i try to go to this page http://202.38.128.96:96/nlpir/ to segment the words there is nothing wrong
i guess maybe there are some thing wrong with the decode