Hypothesis scoring over theta grids information in parsing Chinese sentences with serial verb constructions
Koong Lin, Von‐Wun Soo · 1994
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.