Computer Science
DOI: 10.1016/0885-2308(92)90019-z

tlooto Summary

A system for part-of-speech tagging is described, based on a hidden Markov model which can be trained using a corpus of untagged text, which results in a model that correctly tags approximately 96% of the text.

Abstract

Abstract is not available.

Citation format

KUPIEC, J. Robust part-of-speech tagging using a hidden markov model. COMPUTER SPEECH AND LANGUAGE, 1992, 6: 225–242.