8000 removed parse_imperative function from JSON RPC · vyraun/stanford-corenlp-python@8bbe6d1 · GitHub
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removed parse_imperative function from JSON RPC
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README.md

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# Python interface to Stanford Core NLP tools v1.3.1
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This is a Python wrapper for Stanford University's NLP group's Java-based [CoreNLP tools](http://nlp.stanford.edu/software/corenlp.shtml). It can either be imported as a module or run as an JSON-RPC server. Because it uses many large trained models (requiring 3GB RAM on 64-bit machines and usually a few minutes loading time), most applications will probably want to run it as a server.
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This is a Python wrapper for Stanford University's NLP group's Java-based [CoreNLP tools](http://nlp.stanford.edu/software/corenlp.shtml). It can either be imported as a module or run as a JSON-RPC server. Because it uses many large trained models (requiring 3GB RAM on 64-bit machines and usually a few minutes loading time), most applications will probably want to run it as a server.
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* Python interface to Stanford CoreNLP tools: tagging, phrase-structure parsing, dependency parsing, named entity resolution, and coreference resolution.
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# Contributors
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This is free and open source software and has benefited from the contribution and feedback of others. Like Stanford's CoreNLP tools, it is covered under the [GNU General Public License](http://www.gnu.org/licenses/gpl-2.0.html), which in short means that modifications to this program must maintain the same free and open source distribution policy.
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This is free and open source software and has benefited from the contribution and feedback of others. Like Stanford's CoreNLP tools, it is covered under the [GNU General Public License v2 +](http://www.gnu.org/licenses/gpl-2.0.html), which in short means that modifications to this program must maintain the same free and open source distribution policy.
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* Justin Cheng jcccf@221513ecf322dc32d6e088fb2f68751e45bac226
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* Abhaya Agarwal 8ed7640388cac8ba6d897739f5c8fe24eb87cc48

corenlp.py

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jsonrpc.TransportTcpIp(addr=(options.host, int(options.port))))
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nlp = StanfordCoreNLP()
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server.register_function(nlp.parse)
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server.register_function(nlp.parse_imperative)
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print 'Serving on http://%s:%s' % (options.host, options.port)
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server.serve()

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