MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods. Projective parsing is also supported.

mstparser 0.5.1 is now available via Maven Central. If you use Maven as your build tool, then you can add it as a dependency in your pom.xml file:

<dependency>
<groupId>net.sourceforge.mstparser</groupId>
<artifactId>mstparser</artifactId>
<version>0.5.1</version>
</dependency>

Features

  • First and second order projective and non projective parsing
  • Perceptron and k-best MIRA training
  • Edge-wise confidence estimation (as of v0.5.0)

Project Activity

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License

Apache License V2.0

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User Reviews

  • You can give me how to run MST Parser to generate k-best trees for one sentence (not the best tree as default). Many thanks!
    1 user found this review helpful.
  • Works well for me. Will use it again in the future.
  • A great application that is true to its promise. Thank you very much.
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Additional Project Details

Intended Audience

Information Technology, Science/Research, Developers

User Interface

Command-line

Programming Language

Python, Java

Related Categories

Python Artificial Intelligence Software, Python HMI Software, Java Artificial Intelligence Software, Java HMI Software

Registered

2006-09-28