PyPLN is a distributed pipeline for natural language processing, made in Python. We use NLTK and ZeroMQ as our foundations. The goal of the project is to create an easy way to use NLTK for processing big corpora, with a Web interface.
We don't have a production release yet, but it's scheduled on our next milestone.
PyPLN is free software, released under the GPLv3 https://gnu.org/licenses/gpl-3.0.html.
Our documentation is hosted using GitHub Pages:
- PyPLN Documentation (created using Sphinx)
- Code reference (created using epydoc)
To install dependencies (on a Debian-like GNU/Linux distribution):
sudo apt-get install python-setuptools pip install virtualenv virtualenvwrapper mkvirtualenv pypln pip install -r requirements/production.txt
You will also need to install NLTK data. You can do so following the NLTK documentation.
To run tests:
workon pypln pip install -r requirements/development.txt make test
To run the development webserver:
workon pypln cd pypln/web/ pip install -r requirements/project.txt PYTHONPATH="../../:$PYTHONPATH" ./manage.py runserver --settings=settings.development
See our code guidelines.