chatter

chatter is a collection of simple Natural Language Processing algorithms. Chatter supports: Part of speech tagging with Averaged Perceptrons. Based on the Python implementation by Matthew Honnibal: (http://honnibal.wordpress.com/2013/09/11/a-good-part-of-speechpos-tagger-in-about-200-lines-of-python/) See NLP.POS for the details of part-of-speech tagging with chatter. Phrasal Chunking (also with an Averaged Perceptron) to identify arbitrary chunks based on training data. Document similarity; A cosine-based similarity measure, and TF-IDF calculations, are available in the NLP.Similarity.VectorSim module. Information Extraction patterns via (http://www.haskell.org/haskellwiki/Parsec/) Parsec Chatter comes with models for POS tagging and Phrasal Chunking that have been trained on the Brown corpus (POS only) and the Conll2000 corpus (POS and Chunking)