Paper: Detecting And Correcting Speech Repairs

ACL ID P94-1041
Title Detecting And Correcting Speech Repairs
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1994
Authors

Interactive spoken dialog provides many new challenges for spoken language systems. One of the most critical is the prevalence of speech repairs. This paper presents an al- gorithm that detects and corrects speech repairs based on finding the repair pattern. The repair pattern is built by find- ing word matches and word replacements, and identifying fragments and editing terms. Rather than using a set of pre- built templates, we build the pattern on the fly. In a fair test, our method, when combined with a statistical model to filter possible repairs, was successful at detecting and correcting 80% of the repairs, without using prosodic information or a parser.