Matxin linearisation with the statistical text generator

Prerequisites

You will need Apache Ant, the Java Development Kit (JDK), and Java. On Ubuntu or any other Debian-based operating system, you can simply install the ant package from APT, and APT will automatically install Java and the JDK.

Building

Once you have cloned the repository, simply run

$ ant

from its root directory. Ant will automatically compile and jar all the classes.

You can also generate documentation with

$ ant doc

and remove all generated content with

$ ant clean

Usage

We use Ant to run the project's programs. Ant, however, cannot forward command-line arguments to programs on its own, so we use a simple wrapper script.

./run.sh [CLASS] [ARGS]...

CLASS is the name of the main class---that is, the class that contains the main function that you want to execute. The programs themselves do not appear to be very well-documented, so I have simply compiled a list of all possible main classes:

• commata.Evaluator
• commata.Tagger
• dsynt2synt.Convert
• dsynt2synt.Evaluator
• dsynt2synt.Mapper
• dsynt2synt2.Convert
• dsynt2synt2.Evaluator
• dsynt2synt2.Mapper
• dsynt2syntP.Convert
• dsynt2syntP.Evaluator
• dsynt2syntP.Mapper
• morph2.Main
• morph2.StringEdit
• move.Main
• sem2syn.DSyntConverter
• sem2syn.Main
• sem2syn.SemConverter
• sem2syn2.DSyntConverter
• sem2syn2.Main
• sem2syn2.SemConverter
• syn2lin2.Main
• syn2lin2b.Main
• syn2lin3.Lin
• syn2lin4.Main
• syn2lin5.Main
• syn2lin6.Main
• syn2lin6b.Main
• syn2lin6c.Main
• syn2lin7.Main
• tag7.Evaluator
• tag7.Tagger
• util.ConvertDS
• util.ConvertSSynt
• util.Converter
• util.Evaluate
• util.Evaluator