Hypothesis scoring over theta grids information in parsing Chinese sentences with serial verb constructions

Authors:
Koong H. C. Lin;Von-Wun Soon
Affiliations:
National Tsing-Hua University HsinChu, Hsinchu, Taiwan, R.O.C.;National Tsing-Hua University HsinChu, Hsinchu, Taiwan, R.O.C.
Venue:
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Year:
1994

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Abstract

Serial verb constructions (SVCs) in Chinese are popular structural ambiguities which make parsing difficult. In this paper, we propose a quantitative model, 'S-model'. based on theta grids information, that can systematically resolve ambiguities of SVCs to arbitrate competence between verbs in parsing SVCs sentences. S-model has three major characteristics: (1) it can resolve SVCs without relying on specific types of SVCs classified by linguists; (2) it can handle long SVCs, i.e., SVCs with more than two verbs; (3) it can simultaneously determine whether a verb candidate is really acts as a verb in the sentence.