How do I do dependency parsing in NLTK?

Question

Going through the NLTK book, it\'s not clear how to generate a dependency tree from a given sentence.

The relevant section of the book: sub-chapter on dependency gra

Answer 1

A little late to the party, but I wanted to add some example code with SpaCy that gets you your desired output:

import spacy
nlp = spacy.load("en_core_web_sm")
doc = nlp("I shot an elephant in my sleep")
for token in doc:
    print("{2}({3}-{6}, {0}-{5})".format(token.text, token.tag_, token.dep_, token.head.text, token.head.tag_, token.i+1, token.head.i+1))

And here's the output, very similar to your desired output:

nsubj(shot-2, I-1)
ROOT(shot-2, shot-2)
det(elephant-4, an-3)
dobj(shot-2, elephant-4)
prep(shot-2, in-5)
poss(sleep-7, my-6)
pobj(in-5, sleep-7)

Hope that helps!