Welcome to Joshua
Joshua is a statistical machine translation toolkit for both phrase-based (new in version 6.0) and syntax-based decoding. It can be run with pre-built language packs available for download, and can also be used to build models for new language pairs. Among the many features of Joshua are:
- Support for both phrase-based and syntax-based decoding models
- Translation of weighted input lattices
- Thrax: a Hadoop-based, scalable grammar extractor
- A sparse feature architecture supporting an arbitrary number of features
The latest release of Joshua is always linked to directly from the Home Page
New in 6.0
Joshua 6.0 includes the following new features:
- A fast phrase-based decoder with the ability to read Moses phrase tables
- Large speed improvements compared to the previous syntax-based decoder
- Special input handling
- A host of bugfixes and stability improvements
Working with "language packs"
Joshua includes a number of "language packs", which are pre-built models that allow you to use the translation system as a black box, without worrying too much about how machine translation works. You can browse the models available for download on the Joshua website.
Building new models
Joshua includes a pipeline script that allows you to build new models, provided you have training data. This pipeline can be run (more or less) by invoking a single command, which handles data preparation, alignment, phrase-table or grammar construction, and tuning of the model parameters. See the documentation for a walkthrough and more information about the many available options.
To run the decoder in any form requires setting a few basic environment
$JOSHUA, and potentially
export JAVA_HOME=/path/to/java # maybe /usr/java/home export JOSHUA=/path/to/joshua
You might also find it helpful to set these:
export LC_ALL=en_US.UTF-8 export LANG=en_US.UTF-8
Then, compile Joshua by typing:
cd $JOSHUA ant
The basic method for invoking the decoder looks like this:
cat SOURCE | JOSHUA m MEM -c CONFIG OPTIONS > OUTPUT
Some example usage scenarios and scripts can be found in the examples/ directory.