Suppose this is mine filecontent:
When they turned 45! This will definitely help Michael Jordan.
Below is my code for tag settings.
st = NERTagger('stanford-ner/classifiers/english.all.3class.distsim.crf.ser.gz', 'stanford-ner/stanford-ner.jar')
tokenized_sents = [word_tokenize(sent) for sent in sent_tokenize(filecontent)]
taggedsents = st.tag_sents(tokenized_sents)
I would expect that tokenized_sentsthey taggedsentswould contain the same number of sentences.
But here is what they contain:
for ts in tokenized_sents:
print "tok ", ts
for ts in taggedsents:
print "tagged ",ts
>> tok ['When', 'they', 'are', 'over', '45', 'years', 'old', '!', '!']
>> tok ['It', 'would', 'definitely', 'help', '.']
>> tagged [(u'When', u'O'), (u'they', u'O'), (u'are', u'O'), (u'over', u'O'), (u'45', u'O'), (u'years', u'O'), (u'old', u'O'), (u'!', u'O')]
>> tagged [(u'!', u'O')]
>> tagged [(u'It', u'O'), (u'would', u'O'), (u'definitely', u'O'), (u'help', u'O'), (u'Michael', u'PERSON'), (u'Jordan', u'PERSON'), (u'.', u'O')]
This is because doulbe "!" at the end of the proposed first sentence. Should I delete double "!" S before usest.tag_sents()
How do I resolve this?