English grammar for parsing in NLTK

Question

Is there a ready-to-use English grammar that I can just load it and use in NLTK? I\'ve searched around examples of parsing with NLTK, but it seems like that I have to manual

Answer 1

My library, spaCy, provides a high performance dependency parser.

Installation:

pip install spacy
python -m spacy.en.download all

Usage:

from spacy.en import English
nlp = English()
doc = nlp(u'A whole document.\nNo preprocessing require.   Robust to arbitrary formating.')
for sent in doc:
    for token in sent:
        if token.is_alpha:
            print token.orth_, token.tag_, token.head.lemma_

Choi et al. (2015) found spaCy to be the fastest dependency parser available. It processes over 13,000 sentences a second, on a single thread. On the standard WSJ evaluation it scores 92.7%, over 1% more accurate than any of CoreNLP's models.

Answer 2

Use the MaltParser, there you have a pretrained english-grammar, and also some other pretrained languages. And the Maltparser is a dependency parser and not some simple bottom-up, or top-down Parser.

Just download the MaltParser from http://www.maltparser.org/index.html and use the NLTK like this:

import nltk
parser = nltk.parse.malt.MaltParser()