Summary

A transduction parser is the basis for NLP tasks such as paraphrasing and machine translation. This parser supports transduction via weighted synchronous context free grammar rules.

treegraft is currently in the beta stage of development by Jonathan Clark (http://www.cs.cmu.edu/~jhclark).

Getting Started

For examples of how to use treegraft as a parser, take a look at ChartParserTest (the treegraft JUnit tests).

As an MT decoder, treegraft is based on the Statistical Transfer concept from Carnegie Mellon's Avenue MT group.

To test treegraft from the terminal, you can run:

# make utest

To use treegraft as a decoder, modify data/treegraft.properties to suite your needs and run:

# treegraft.sh data/treegraft.properties

Information on loading plugins such as parsers, forest unpackers/decoders, lattice decoders and features at runtime via config files will be posted soon. Also, check back for a Moses-style "full pipeline" training script that will build a system given training data.

Documentation

Also, consider taking a look at the Javadoc API