Stochastic Language Generation for Spoken Dialogue SystemsComputer Science Department
Date of Original Version1-1-2000
Abstract or DescriptionThe 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 InformationAlice H Oh and Alexander I Rudnicky. "Stochastic Language Generation for Spoken Dialogue Systems" (2000)
Available at: http://works.bepress.com/alexander_rudnicky/30/