If you're doing NLP in Python, there's no reason to use CoreNLP's parser from the NLTK wrapper. Communicating with the Java process over the file system or a so

If you're doing NLP in Python, there's no reason to use CoreNLP's parser from the NLTK wrapper. Communicating with the Java process over the file system or a socket introduces a tonne of unnecessary complications, slow-downs, invites encoding problems, etc. spaCy's native Cython dependency parser is both faster and more accurate than CoreNLP. The NP chunks example from the post: >>> from spacy.en import English >>> nlp = English() >>> doc = nlp(u'ITP is a two-year graduate program located in the Tisch School of the Arts. Perhaps the best way to describe us is as a Center for the Recently Possible.') >>> for np in doc.noun_chunks: ... print(np.text) ... ITP a two-year graduate program the Tisch School the Arts the best way us a Center