Paper: An Efficient Statistical Speech Act Type Tagging System For Speech Translation Systems

ACL ID P99-1049
Title An Efficient Statistical Speech Act Type Tagging System For Speech Translation Systems
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper describes a new efficient speech act type tagging system. This system cov- ers the tasks of (1) segmenting a turn into the optimal number of speech act units (SA units), and (2) assigning a speech act type tag (SA tag) to each SA unit. Our method is based on a theoretically clear statistical model that integrates linguistic, acoustic and situational information. We report tagging experiments on Japanese and English dialogue corpora manually la- beled with SA tags. We then discuss the performance difference between the two languages. We also report on some trans- lation experiments on positive response expressions using SA tags.