Shallow syntactic function labeller

This is Google Summer of Code 2017 project

A repository for the whole project: https://github.com/deltamachine/shallow_syntactic_function_labeller

A workplan and progress notes can be found here: Shallow syntactic function labeller/Workplan

Prerequisites

1. Python libraries:

• DyNet (installation instructions can be found here: http://dynet.readthedocs.io/en/latest/python.html)
• Streamparser (https://github.com/goavki/streamparser)

2. Precompiled language pairs which support the labeller (sme-nob)

Installation

Currently only the test version for sme-nob pair is available.

git clone https://github.com/deltamachine/sme-nob_testpack.git
cd sme-nob_testpack

Script add_labeller.py adds all the needed files in apertium-sme-nob directory and changes all files with modes.

Arguments:

• apertium_path: path to your apertium-sme-nob directory
• python_path: path to current Python interpreteur (NB: if you just type "python" instead of full path, some dependencies might not work)
• install_mode: -install for installing the labeller and changing modes, -change for just changing modes.
• type_of_change: -lb for using the labeller in the pipeline, -cg for using the original syntax module (sme-nob.syn.rlx.bin) in the pipeline.

For example, this script will install the labeller and add it to the pipeline:

python add_labeller.py /home/user/apertium/apertium-sme-nob /home/user/anaconda3/bin/python -install -lb

And this script will backward modes changes:

python add_labeller.py /home/user/apertium/apertium-sme-nob /home/user/anaconda3/bin/python -change -cg

To do

• Add an ability to handle more than one sentence.
• Do more tests. MORE.
• Write docstrings and refactore the main code.
• Take the trash out of the github repository before the final evaluation.
• Continue improving the perfomance of the models.