Tagging speech repairs

Authors:
Peter A. Heeman;James Allen
Affiliations:
University of Rochester, Rochester, New York;University of Rochester, Rochester, New York
Venue:
HLT '94 Proceedings of the workshop on Human Language Technology
Year:
1994

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Abstract

This paper describes a method of detecting speech repairs that uses a part-of-speech tagger. The tagger is given knowledge about category transitions for speech repairs, and so is able to mark a transition either as a likely repair or as fluent speech. Other contextual clues, such as editing terms, word fragments, and word matchings, are also factored in by modifying the transition probabilities.