how to get a dependency tree with Stanford NLP parser

Question

How can I get the dependency tree as Figure below. I can get the dependency relation as pure text, and also the dependency graph with the help of dependencysee tool. But how

Answer 1

Here is how you would do exactly that (in python)

Installing all needed dependencies (OS X):

# assuming you have java installed and available in PATH
# and homebrew installed

brew install stanford-parser
brew install graphviz
pip install nltk
pip install graphviz

code:

import os
from nltk.parse.stanford import StanfordDependencyParser
from graphviz import Source

# make sure nltk can find stanford-parser
# please check your stanford-parser version from brew output (in my case 3.6.0) 
os.environ['CLASSPATH'] = r'/usr/local/Cellar/stanford-parser/3.6.0/libexec'

sentence = 'The brown fox is quick and he is jumping over the lazy dog'

sdp = StanfordDependencyParser()
result = list(sdp.raw_parse(sentence))

dep_tree_dot_repr = [parse for parse in result][0].to_dot()
source = Source(dep_tree_dot_repr, filename="dep_tree", format="png")
source.view()

which results in:

I used this when reading Text Analytics With Python: CH3, good read, please reference if you need more info about dependency-based parsing.