Open Source Text Processing Project: kljensen-snowball

Go implementation of the Snowball stemmers Project Website: None Github Link: https://github.com/kljensen/snowball Description A Go (golang) implementation of the Snowball stemmer for natural language processing. Status Latest release v0.3.4 (2013-05-19) Latest build status Build Status Go versions tested go1.0.3 Languages … Continue reading

Open Source Text Processing Project: Ruby-Stemmer

Ruby-Stemmer exposes SnowBall API to Ruby Project Website: http://locknet.ro/archive/2009-10-29-ann-ruby-stemmer.html Github Link: https://github.com/aurelian/ruby-stemmer Description This package includes libstemmer_c library released under BSD licence and available for free here. Support for latin language is also included and it has been generated with … Continue reading

Open Source Text Processing Project: libstemmer

libstemmer: The C version of the libstemmer library Project Website: http://snowball.tartarus.org/dist/libstemmer_c.tgz Github Link: https://github.com/zvelo/libstemmer Description This contains all you need to include the snowball stemming algorithms into a C project of your own. If you download this, you don’t need … Continue reading

Open Source Text Processing Project: PyStemmer

Python stemming library using snowball stemmers Project Website: https://pypi.python.org/pypi/PyStemmer Github Link: https://github.com/snowballstem/pystemmer Description PyStemmer is a Python interface to the stemming algorithms from the Snowball project (http://snowball.tartarus.org/). A stemming algorithm (or stemmer) is a process for removing the commoner morphological … Continue reading

Open Source Text Processing Project: Snowball

Snowball Project Website: http://snowballstem.org/ Github Link: https://github.com/snowballstem/snowball Description Snowball is a small string processing language designed for creating stemming algorithms for use in Information Retrieval. This site describes Snowball, and presents several useful stemmers which have been implemented using it. … Continue reading