Structural disambiguation of morpho-syntactic categorial parsing for Korean

  • Authors:
  • Jeongwon Cha;Geunbae Lee

  • Affiliations:
  • Pohang University of Science & Technology, Pohang, Korea;Pohang University of Science & Technology, Pohang, Korea

  • Venue:
  • COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
  • Year:
  • 2000

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Abstract

The Korean Combinatory Categorial Grammar (KCCG) formalism can uniformly handle word order variation among arguments and adjuncts within a clause as well as in complex clauses and across clause boundaries, i.e., long distance scrambling. In this paper, incremental parsing technique of a morpheme graph is developed using the KCCG. We present techniques for choosing the most plausible parse tree using lexical information such as category merge probability, head-head co-occurrence heuristic, and the heuristic based on the coverage of subtrees. The performance results for various models for choosing the most plausible parse tree are compared.