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An Error-Correcting Parser for a Context-Free Language Based on the Context-Dependent Similarity

  • M. Ikeda
  • E. Tanaka
  • O. Kasusho
Conference paper
Part of the NATO ASI Series book series (volume 45)

Abstract

Patterns are essentially context-dependent. This paper describes an error-correcting parser for a context-free language, which finds most similar sentences to an input sentence based on the context-dependent similarity(CDS). The proposed algorithm is obtained by modifying the Lyon’s error-correcting parser. Possible application are to the problem of pattern recognition, speech recognition and language processing.

Keywords

Cost Function Parse Table Error Cost Input Sentence Similar Sentence 
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 1988

Authors and Affiliations

  • M. Ikeda
    • 1
  • E. Tanaka
    • 2
  • O. Kasusho
    • 1
  1. 1.The Ins. of Sci. and Ind. Res.Osaka Univ.Ibaraki-Shi, 565Japan
  2. 2.Fac. of EngineeringUtsunomiya Univ.Utsunomiya-Shi, 321Japan

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