TypeError: expected string or Unicode object, NoneType found
Terry Reedy
tjreedy at udel.edu
Sat May 19 13:47:26 EDT 2018
On 5/19/2018 12:47 PM, Peter Otten wrote:
> subhabangalore at gmail.com wrote:
>
>> I wrote a small piece of following code
>>
>> import nltk
>> from nltk.corpus.reader import TaggedCorpusReader
>> from nltk.tag import CRFTagger
To implement Peter's suggestion:
>> def NE_TAGGER():
def tagger(stop):
>> reader = TaggedCorpusReader('/python27/', r'.*\.pos')
>> f1=reader.fileids()
>> print "The Files of Corpus are:",f1
>> sents=reader.tagged_sents()
>> ls=len(sents)
>> print "Length of Corpus Is:",ls
>> train_data=sents[:300]
>> test_data=sents[301:350]
>
> Offtopic: not that sents[300] is neither in the training nor in the test
> data; Python uses half-open intervals.
train_data=sents[:stop]
test_data=sents[stop:max+50]
>> ct = CRFTagger()
>> crf_tagger=ct.train(train_data,'model.crf.tagger')
>>
>> This code is working fine.
>> Now if I change the data size to say 500 or 3000 in train_data by giving
>> train_data=sents[:500] or
>> train_data=sents[:3000] it is giving me the following error.
>
> What about sents[:499], sents[:498], ...?
Do a rough binary search for the first stop value that raises.
tagger(400)
tagger(350 or 450, depending)
...
You could automate with bisect module, but bisection by eye should be
faster.
> I'm not an nltk user, but to debug the problem I suggest that you identify
> the exact index that triggers the exception, and then print it
>
> print sents[minimal_index_that_causes_typeerror]
>
> Perhaps you can spot a problem with the input data.
>
> (In the spirit of the "offtopic" remark: if sents[:333] triggers the failure
> you have to print sents[332])
Or mentally subtract 1 from minimal failing stop value.
>
>> Traceback (most recent call last):
>> File "<pyshell#2>", line 1, in <module>
>> NE_TAGGER()
>> File "C:\Python27\HindiCRFNERTagger1.py", line 20, in NE_TAGGER
>> crf_tagger=ct.train(train_data,'model.crf.tagger')
>> File "C:\Python27\lib\site-packages\nltk\tag\crf.py", line 185, in train
>> trainer.append(features,labels)
>> File "pycrfsuite\_pycrfsuite.pyx", line 312, in
>> pycrfsuite._pycrfsuite.BaseTrainer.append
>> (pycrfsuite/_pycrfsuite.cpp:3800) File "stringsource", line 53, in
>> vector.from_py.__pyx_convert_vector_from_py_std_3a__3a_string
>> (pycrfsuite/_pycrfsuite.cpp:10738) File "stringsource", line 15, in
>> string.from_py.__pyx_convert_string_from_py_std__in_string
>> (pycrfsuite/_pycrfsuite.cpp:10633)
>> TypeError: expected string or Unicode object, NoneType found
>>>>>
>>
>> I have searched for solutions in web found the following links as,
>> https://stackoverflow.com/questions/14219038/python-multiprocessing-typeerror-expected-string-or-unicode-object-nonetype-f
>> or
>> https://github.com/kamakazikamikaze/easysnmp/issues/50
>>
>> reloaded Python but did not find much help.
>>
>> I am using Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:22:17) [MSC
>> v.1500 32 bit (Intel)] on win32
>>
>> My O/S is, MS-Windows 7.
>>
>> If any body may kindly suggest a resolution.
>
>
--
Terry Jan Reedy
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