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PPP-QuestionParsing-Grammatical

StanfordNLP.parse() A
last analyzed 2017-11-28 20:04 UTC

↳ Parent: StanfordNLP

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	3
Bugs	0	Features	0

Metric	Value
cc	1
c	3
b	0
f	0
dl	0
loc	5
rs	9.4285

import json
#from jsonrpc import ServerProxy, JsonRpc20, TransportTcpIp
import requests

class StanfordNLP:
    def __init__(self, port_number=9000):
        self.server = "http://localhost:%d" % port_number

    def parse(self, text):
        r = requests.post(self.server, params={'properties' : '{"annotators": "tokenize,ssplit,pos,lemma,ner,parse", "outputFormat": "json", "parse.flags": " -makeCopulaHead"}'}, data=text.encode('utf8'))
        result = r.json()['sentences'][0]
        result['text'] = text
        return result

nlp = StanfordNLP()

if __name__ == "__main__":
    while(True):
        line=input("")
        result = nlp.parse(line)
        print(result)


1			import json
2			#from jsonrpc import ServerProxy, JsonRpc20, TransportTcpIp
3			import requests
4
5			class StanfordNLP:
6			def __init__(self, port_number=9000):
7			self.server = "http://localhost:%d" % port_number
8
9			def parse(self, text):
10			r = requests.post(self.server, params={'properties' : '{"annotators": "tokenize,ssplit,pos,lemma,ner,parse", "outputFormat": "json", "parse.flags": " -makeCopulaHead"}'}, data=text.encode('utf8'))
11			result = r.json()['sentences'][0]
12			result['text'] = text
13			return result
14
15			nlp = StanfordNLP()
16
17			if __name__ == "__main__":
18			while(True):
19			line=input("")
20			result = nlp.parse(line)
21			print(result)
22

ProjetPP / PPP-QuestionParsing-Grammatical

StanfordNLP.parse() A last analyzed 2017-11-28 20:04 UTC

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StanfordNLP.parse() A
last analyzed 2017-11-28 20:04 UTC