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Article
Stochastic Language Generation for Spoken Dialogue Systems
Computer Science Department
  • Alice H Oh, Carnegie Mellon University
  • Alexander I Rudnicky, Carnegie Mellon University
Date of Original Version
1-1-2000
Type
Conference Proceeding
Abstract or Description
The two current approaches to language generation, template-based and rule-based (linguistic) NLG, have limitations when applied to spoken dialogue systems, in part because they were developed for text generation. In this paper, we propose a new corpus-based approach to natural language generation, specifically designed for spoken dialogue systems.
Citation Information
Alice H Oh and Alexander I Rudnicky. "Stochastic Language Generation for Spoken Dialogue Systems" (2000)
Available at: http://works.bepress.com/alexander_rudnicky/30/