Stanford NLP Tagger via NLTK - tag_sents splits everything into chars

Question

I\'m hoping someone has experience with this as I\'m unable to find any comments online besides a bug report from 2015 regarding the NERtagger which is probably the same.

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Answer 1

Another variation of what alvas said, which worked for me: tagger.tag_sents([[text]]).

Answer 2

The tag_sents function takes a list of list of strings.

tagger.tag_sents(word_tokenize("The quick brown fox jumps over the lazy dog."))

Here's a useful idiom:

 tagger.tag_sents(word_tokenize(sent) for sent in sent_tokenize(text))

where text is a string.