Adaptation and Generalization

  • Jill Fain Lehman
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 161)

Abstract

In Chapter 6 we transformed CHAMP from a bottom-up parser to a least-deviant-first parser by adding error recovery to the system. While error recovery allows CHAMP to accept a larger language than the kernel grammar alone, the average cost of acceptance (and rejection) increases; although we apply constraints at every opportunity, the fact is that search expanded to a non-zero deviation-level is always larger than a grammatical search would be for the same utterance. If we can modify the grammar to recognize a deviant form directly, subsequent encounters with that deviation will not require error recovery at all. Thus, future sentences containing the deviation will succeed at lower deviation-levels, requiring less search. Giving CHAMP the ability to learn new grammatical components transforms the system from a simple least-deviant-first parser to a least-deviant-first adaptiveparser.

Keywords

Critical Difference Error Recovery Head Noun Liberal Approach Definite Article 
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 Science+Business Media New York 1992

Authors and Affiliations

  • Jill Fain Lehman
    • 1
  1. 1.Carnegie Mellon UniversityUSA

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