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
