PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
created at July 6, 2010, 11:42 a.m.
Crab - A recommendation engine library for Python
created at Oct. 11, 2010, 3:56 a.m.
Visualizer for neural network, deep learning and machine learning models
created at Dec. 26, 2010, 12:53 p.m.
Python wrapper for Stanford CoreNLP tools v3.4.1
created at Feb. 26, 2011, 6:20 p.m.
BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.
created at Feb. 27, 2011, 7:29 p.m.