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
Did you try POS tagging in NLTK?
text = word_tokenize("And now for something completely different")
nltk.pos_tag(text)
The answer is something like this
[('And', 'CC'), ('now', 'RB'), ('for', 'IN'), ('something', 'NN'),('completely', 'RB'), ('different', 'JJ')]
Got this example from here NLTK_chapter03