Flexible parsing

  • Authors:
  • Phil Hayes;George Mouradian

  • Affiliations:
  • Carnegie-Mellon University, Pittsburgh, PA;Carnegie-Mellon University, Pittsburgh, PA

  • Venue:
  • ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
  • Year:
  • 1980

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Abstract

When people use natural language in natural settings, they often use it ungrammatically, missing out or repeating words, breaking-off and restarting, speaking in fragments, etc., Their human listeners are usually able to cope with these deviations with little difficulty. If a computer system wishes to accept natural language input from its users on a routine basis, it must display a similar indifference. In this paper, we outline a set of parsing flexibilities that such a system should provide. We go on to describe FlexP. a bottom-up pattern-matching parser that we have designed and implemented to provide these flexibilities for restricted natural language input to a limited-domain computer system.