https://github.com/kenda/nlp2rdf.montylingua

An extension for NLP2RDF and the MontyLingua Toolkit
https://github.com/kenda/nlp2rdf.montylingua

Last synced: 7 days ago
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An extension for NLP2RDF and the MontyLingua Toolkit

• Host: GitHub
• URL: https://github.com/kenda/nlp2rdf.montylingua
• Owner: kenda
• Created: 2011-10-24T11:37:35.000Z (about 13 years ago)
• Default Branch: master
• Last Pushed: 2011-12-03T00:53:39.000Z (about 13 years ago)
• Last Synced: 2023-03-23T22:31:46.106Z (almost 2 years ago)
• Language: Python
• Homepage:
• Size: 293 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# About

This is an adapter for [NLP2RDF](http://nlp2rdf.org) and the MontyLingua Toolkit.

# Requirements

- [MontyLingua](http://web.media.mit.edu/~hugo/montylingua/)

- [rdflib](http://www.rdflib.net/)

Before using the tool you have to define an environment variable called MONTYLINGUA which links to the directory containing the datafiles (.MDF).

For example:

`export MONTYLINGUA=/home/foo/montylingua-2.1/python`

  

# Usage

## Webservice

`python server.py`

The webservice runs on port 8001 at /service by default. For parameters etc see the [NIF spec](http://nlp2rdf.org/nif-1-0#toc-parameters).

Therefore you can `curl` your query like this

`curl "http://localhost:8001/service?nif=true&input-type=text&input=This%20is%20a%20city%20called%20Berlin."`

or simply use your browser to query the target.

## Console

`python nif.py`

But this method is mainly for debugging purposes and supports only hardcoded options.

# Example

Take a look at this [gist](https://gist.github.com/1309886) for an example output.

# Troubleshooting

* **There are abnormal POS tags used instead of the normal PENN tagset.**

	This means that the lexicon files of MontyLingua weren't created correctly.

	Try removing the `FASTLEXICON_*.MDF` files in the `python` directory of MontyLingua 

	and run your query again. MontyLingua will create new lexicon files.