commit | f0596b4efe63ccbb1ff9748b7d6d826d52218484 | [log] [tgz] |
---|---|---|
author | Tommaso Teofili <tommaso@apache.org> | Thu Sep 29 14:39:32 2016 +0200 |
committer | Tommaso Teofili <tommaso@apache.org> | Thu Sep 29 14:39:32 2016 +0200 |
tree | 15c67dc045a9f4abd2ee8bb6589f3f4e79839501 | |
parent | 928fa00829b882b5d2f03141485255cb55e7554f [diff] |
JOSHUA-290 - provide Joshua as a bundle
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:
The latest release of Joshua is always linked to directly from the Home Page
Joshua 6.X includes the following new features:
Joshua must be run with a Java JDK 1.8 minimum.
To run the decoder in any form requires setting a few basic environment variables: $JAVA_HOME
, $JOSHUA
, and, for certain (optional) portions of the model-training pipeline, potentially $MOSES
.
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 mvn clean compile assembly:single
You also need to download and compile KenLM and Thrax:
bash ./download-deps.sh
The basic method for invoking the decoder looks like this:
cat SOURCE | $JOSHUA/bin/joshua-decoder -m MEM -c CONFIG OPTIONS > OUTPUT
Some example usage scenarios and scripts can be found in the examples/ directory.
If you are hoping to work on the decoder, we suggest you use Eclipse. You can get started with this by typing
mvn eclipse:eclipse
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.
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.
Joshua is licensed and released under the permissive Apache License v2.0, a copy of which ships with the Joshua source code.