Paper: A Second-Order Hidden Markov Model For Part-Of-Speech Tagging

ACL ID P99-1023
Title A Second-Order Hidden Markov Model For Part-Of-Speech Tagging
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper describes an extension to the hidden Markov model for part-of-speech tagging using second-order approximations for both contex- tual and lexical probabilities. This model in- creases the accuracy of the tagger to state of the art levels. These approximations make use of more contextual information than standard statistical systems. New methods of smoothing the estimated probabilities are also introduced to address the sparse data problem.