Paper: Intonational Boundaries Speech Repairs And Discourse Markers: Modeling Spoken Dialog

ACL ID P97-1033
Title Intonational Boundaries Speech Repairs And Discourse Markers: Modeling Spoken Dialog
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

To understand a speaker's turn of a con- versation, one needs to segment it into in- tonational phrases, clean up any speech re- pairs that might have occurred, and iden- tify discourse markers. In this paper, we argue that these problems must be resolved together, and that they must be resolved early in the processing stream. We put for- ward a statistical language model that re- solves these problems, does POS tagging, and can be used as the language model of a speech recognizer. We find that by ac- counting for the interactions between these tasks that the performance on each task improves, as does POS tagging and per- plexity.