Lexicalized Hidden Markov Models for Part-of-Speech Tagging

Abstract

Since most previous works for HMM-based tagging consider only part-of-speech information in contexts, their models cannot utilize lexical information which is crucial for resolving some morphological ambiguity. In this paper we introduce uniformly lexicalized HMMs for partof-speech tagging in both English and Korean. The lexicalized models use a simpli ed… (More)

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