THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/

The Multiword Expressions toolkit aids in the automatic identification and extraction of multiword units in running text. These include idioms (kick the bucket), noun compounds (cable car), phrasal verbs (take off, give up), etc.

Even though it focuses on multiword expresisons, the framework is quite complete and can also be useful in any corpus-based study in computational linguistics.

The mwetoolkit can be applied to virtually any text collection, language, and MWE type. It is a command-line tool written mostly in Python. Its development started in 2010 as a PhD thesis but the project keeps active (see the SVN logs).

Up-to-date documentation and details about the tool can be found on the mwetoolkit website: http://mwetoolkit.sourceforge.net/

Features

  • Multi-level RegEx patterns
  • Large corpora support
  • Association measures
  • Token-based annotation

Project Samples

Example of text with automatic MWE annotation, exported to HTML Architecture and modules Logo Example of automatically extracted MWE "Chinese hamster ovary"

Project Activity

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Categories

Artificial Intelligence, Linguistics, Command Line Tools

License

GNU General Public License version 3.0 (GPLv3)

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mwetoolkit Web Site

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  • gheul Posted 2012-05-13
    Works fine, easy to use, and the documentation is clear.
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Additional Project Details

Operating Systems

BSD, Cygwin, Linux, Mac

Languages

English

Intended Audience

Science/Research

User Interface

Command-line

Programming Language

C, Python, Unix Shell

Database Environment

Flat-file, XML-based

Related Categories

Unix Shell Artificial Intelligence Software, Unix Shell Linguistics Software, Unix Shell Command Line Tools, Python Artificial Intelligence Software, Python Linguistics Software, Python Command Line Tools, C Artificial Intelligence Software, C Linguistics Software, C Command Line Tools

Registered

2010-04-08
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