Apertium-Init (a.k.a. Apertium Bootstrap)

Bootstrap Apertium language modules and pairs using apertium-init.py.

Usage

First, download the script or install from PyPi with pip install apertium-init.

Usage depends on the desired module and is described below. Remember to search for TODO in the generated module to add example sentences, etc.

Monolingual Lttoolbox module

To bootstrap a monolingual language module apertium-foo using the lttoolbox formalism,

$ python3 apertium-init.py foo

To bootstrap and compile it at the same time,

$ python3 apertium-init.py foo && ( cd apertium-foo/ && ./autogen.sh && make )

Monlingual HFST module

To bootstrap a monolingual language module apertium-foo using the HFST formalism,

$ python3 apertium-init.py foo --analyser=hfst

To bootstrap and compile it at the same time,

$ python3 apertium-init.py foo --analyser=hfst && ( cd apertium-foo/ && ./autogen.sh && make )

Bilingual Lttoolbox module

To bootstrap a bilingual language module apertium-foo-bar where the monolingual packages apertium-foo and apertium-bar both use the lttoolbox formalism,

$ python3 apertium-init.py foo-bar

To bootstrap and compile it at the same time,

$ python3 apertium-init.py foo-bar && ( cd apertium-foo-bar/ && ./autogen.sh && make test)

Bilingual HFST/Lttoolbox module

To bootstrap a bilingual language module apertium-foo-bar where the monolingual packages apertium-foo and apertium-bar use the HFST formalism and/or the lttoolbox formalism,

$ python3 apertium-init.py foo-bar --analysers=hfst # Both foo and bar use HFST
$ python3 apertium-init.py foo-bar --analyser1=hfst # Only foo (first language) uses HFST
$ python3 apertium-init.py foo-bar --analyser2=hfst # Only bar (second language) uses HFST

To bootstrap and compile it at the same time,

$ python3 apertium-init.py foo-bar --analysers=hfst && ( cd apertium-foo-bar/ && ./autogen.sh && make test) # Both foo and bar use HFST
$ python3 apertium-init.py foo-bar --analyser1=hfst && ( cd apertium-foo-bar/ && ./autogen.sh && make test) # Only foo (first language) uses HFST
$ python3 apertium-init.py foo-bar --analyser2=hfst && ( cd apertium-foo-bar/ && ./autogen.sh && make test) # Only bar (second language) uses HFST

Development

After updating vanilla files, run ./updateBootstraper.py to update the relevant encoded files in apertium-init.py. Or, run make in the root of the repository to update all the encoded files.

You can also do sudo make install to install to /usr/local/bin/apertium-init or e.g. PREFIX=$HOME/local make install to install to $HOME/local/bin/apertium-init.

Use pipenv install --dev to install the requirements required for development, e.g. linters.

Releasing

After installing development resources following the instructions above, deploying to PyPi is relatively straightforward.

Use make dist to create a source distributable inside the dist directory that can be installed locally via pip.

Use make test-release and make release to deploy to the testing PyPi instance and the production PyPi instance respectively. Either step requires PyPi authentication credentials with access to the apertium-init package.