Matxin linearisation with the statistical text generator

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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
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