Part-of-Speech (POS) tagging software for English - the classification of words into one or more categories based upon its definition, relationship with other words, or other context, also known as wordclass tagging. CLAWS (Constituent Likelihood Automatic Word-tagging System) uses several methods to identify parts of speech., most notably a system called Hidden Markov models (HMMs) which involve counting examples of co-occurrence of words and wordclasses in training data and making a table of the probabilities of certain sequences of words.

Features:

Parts-of-Speech tagging with an accuracy rate of approximately 96-97 percent for text analyzed for common text types in British English.

Template tagging

A free version is CLAWS is scheduled for release in 2015.