2000 LexicalizedHMMforPOS

• (Lee et al., 2000) ⇒ Sang-Zoo Lee, Jun'ichi Tsujii, Hae-Chang Rim. (2000). “Lexicalized Hidden Markov Models for Part-of-Speech Tagging.” In: Proceedings of the 18th International Conference on Computational Linguistics (COLING 2000). doi:10.3115/990820.990890.

Subject Headings: Lexicalized HMM.

Quotes

• 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 part-of-speech tagging in both English and Korean. The lexicalized models use a simplified back-off smoothing technique to overcome data sparseness. In experiments, lexicalized models achieve higher accuracy than non-lexicalized models and the back-off smoothing method mitigates data sparseness better than simple smoothing methods.

---

,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2000 LexicalizedHMMforPOS	Jun'ichi Tsujii Sang-Zoo Lee Hae-Chang Rim			Lexicalized Hidden Markov Models for Part-of-Speech Tagging			http://acl.ldc.upenn.edu/C/C00/C00-1070.pdf	10.3115/990820.990890