Automatic detection and correction of repairs in human-computer dialog

  • Authors:
  • Elizabeth Shriberg;John Bear;John Dowding

  • Affiliations:
  • SRI International, Menlo Park, California;SRI International, Menlo Park, California;SRI International, Menlo Park, California

  • Venue:
  • HLT '91 Proceedings of the workshop on Speech and Natural Language
  • Year:
  • 1992

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Abstract

We have analyzed 607 sentences of spontaneous human-computer speech data containing repairs (drawn from a corpus of 10,718). We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources: pattern matching, syntactic and semantic analysis, and acoustics.