Detection and Correction Of Repairs In Human-Computer Dialog
by Bear, John and Dowding, John and Shriberg, Elizabeth
Technical Note 518
Institution: AI Center, SRI International
Address: 333 Ravenswood Ave., Menlo Park, CA 94025
We have analyzed 607 sentences of spontaneous human-computer speech data containing repairs, drawn from a total corpus of 10,718 sentences. 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.
|Bear, John S||Alumnus|