I have a sentence
"I shot an elephant in my sleep"
The typed dependency of the sentence is
nsubj(shot-2, I-1)
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)
How do I get the typed dependency using Stanford Parser (or any parser) using NLTK (preferably, but anthing is fine) in Python ?
Note - I know it is very similar to this question. But no good answers exist.
There exists a python wrapper for the Stanford parser, you can get it here.
It will give you the dependency tree of your sentence.
EDIT:
I assume here that you launched a server as said here. I also assume that you have installed jsonrpclib.
The following code will produce what you want:
import json
import jsonrpclib
class StanfordNLP:
def __init__(self, port_number=8080):
self.server = jsonrpclib.Server("http://localhost:%d" % port_number)
def parse(self, text):
return json.loads(self.server.parse(text))
nlp = StanfordNLP()
sentence = 'I shot an elephant in my sleep'
result = nlp.parse(sentence)
result['sentences'][0]['indexeddependencies']
>>>
['root', 'ROOT-0', 'shot-2']
['nsubj', 'shot-2', 'I-1']
['det', 'elephant-4', 'an-3']
['dobj', 'shot-2', 'elephant-4']
['poss', 'sleep-7', 'my-6']
['prep_in', 'shot-2', 'sleep-7']
EDIT2:
Now, the Stanford parser has an HTTP API. Thus, the python wrapper is not necessary anymore.
