Paper: RDRPOSTagger: A Ripple Down Rules-based Part-Of-Speech Tagger

ACL ID E14-2005
Title RDRPOSTagger: A Ripple Down Rules-based Part-Of-Speech Tagger
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper describes our robust, easy- to-use and language independent toolkit namely RDRPOSTagger which employs an error-driven approach to automatically construct a Single Classification Ripple Down Rules tree of transformation rules for POS tagging task. During the demon- stration session, we will run the tagger on data sets in 15 different languages.