A Simple Rule-Based Part of Speech Tagger-英文文献.pdf

A Simple Rule-Based Part of Speech Tagger E r i c B r i l l * D e p a r t m e n t of C o m p u t e r S cie n ce U n i v e r s i t y of P e n n s y l v a n i a P h i l a d e l p h i a , P e n n s y l v a n i a 19104 U.S.A. b r i l l @ u n a g i . c i s . u p e n n . e d u A b s t r a c t Kupiec 89; Meteer et al. 91]. Stochastic taggers have ob- tained a high degree of accuracy without performing any Automatic part of speech tagging is an area syntactic analysis on the input. These stochastic part of of natural language processing where statistical speech taggers make use of a Markov model which cap- techniques have been more successful than rule- tures lexical and contextual information. The parame- based methods. In this paper, we present a sim- ters of the model can be estimated from tagged ([Church ple rule-based part of speech tagger which au- 88; DeRose 88; Deroualt and Merialdo 86; Garside et al. tomatically acquires its rules and tags with ac- 87; Meteer et al. 91]) or untagged ([Cutting et al. 92; curacy comparable to stochastic taggers. The Jelinek 85; Kupiec 89J) text. Onc