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Enhancing Automatic Acquisition of Thematic Structure in a Large-Scale Lexicon for Mandarin Chinese

  • Mari Broman Olsen
  • Bonnie J. Dorr
  • Scott C. Thomas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1529)

Abstract

This paper describes a refinement to our procedure for porting lexical conceptual structure (LCS) into new languages. Specifically we describe a two-step process for creating candidate thematic grids for Mandarin Chinese verbs, using the English verb heading the VP in the subde_nitions to separate senses, and roughly parsing the verb complement structure to match thematic structure templates. We accomplished a substantial reduction in manual effort, without substantive loss. The procedure is part of a larger process of creating a usable lexicon for interlingual machine translation from a large on-line resource with both too much and too little information.

Keywords

Machine Translation Prepositional Phrase Thematic Role Thematic Structure Bare Noun 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Mari Broman Olsen
    • 1
  • Bonnie J. Dorr
    • 1
  • Scott C. Thomas
    • 1
  1. 1.University of MarylandCollege ParkUSA

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