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extract phrasal verbs
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#!/usr/bin/env python | |
import pprint | |
import json | |
import corenlp | |
corenlp_dir = "/tmp/stanford-corenlp-full-2013-06-20" | |
parser = corenlp.StanfordCoreNLP(corenlp_path=corenlp_dir) | |
result_json = json.loads(parser.parse("hey shut down the station")) | |
pprint.pprint(result_json) |
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➜ /tmp ./test.py | |
{u'sentences': [{u'dependencies': [[u'nsubj', u'shut', u'hey'], | |
[u'root', u'ROOT', u'shut'], | |
[u'prt', u'shut', u'down'], | |
[u'det', u'station', u'the'], | |
[u'dobj', u'shut', u'station']], | |
u'indexeddependencies': [[u'nsubj', u'shut-2', u'hey-1'], | |
[u'root', u'ROOT-0', u'shut-2'], | |
[u'prt', u'shut-2', u'down-3'], | |
[u'det', u'station-5', u'the-4'], | |
[u'dobj', | |
u'shut-2', | |
u'station-5']], | |
u'parsetree': u'(ROOT (S (NP (NN hey)) (VP (VBD shut) (PRT (RP down)) (NP (DT the) (NN station)))))', | |
u'text': u'hey shut down the station', | |
u'words': [[u'hey', | |
{u'CharacterOffsetBegin': u'0', | |
u'CharacterOffsetEnd': u'3', | |
u'Lemma': u'hey', | |
u'NamedEntityTag': u'O', | |
u'PartOfSpeech': u'NN'}], | |
[u'shut', | |
{u'CharacterOffsetBegin': u'4', | |
u'CharacterOffsetEnd': u'8', | |
u'Lemma': u'shut', | |
u'NamedEntityTag': u'O', | |
u'PartOfSpeech': u'VBD'}], | |
[u'down', | |
{u'CharacterOffsetBegin': u'9', | |
u'CharacterOffsetEnd': u'13', | |
u'Lemma': u'down', | |
u'NamedEntityTag': u'O', | |
u'PartOfSpeech': u'RP'}], | |
[u'the', | |
{u'CharacterOffsetBegin': u'14', | |
u'CharacterOffsetEnd': u'17', | |
u'Lemma': u'the', | |
u'NamedEntityTag': u'O', | |
u'PartOfSpeech': u'DT'}], | |
[u'station', | |
{u'CharacterOffsetBegin': u'18', | |
u'CharacterOffsetEnd': u'25', | |
u'Lemma': u'station', | |
u'NamedEntityTag': u'O', | |
u'PartOfSpeech': u'NN'}]]}]} |
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