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.
Stochastic Language Generation for Spoken Dialogue Systems
Alice H. Oh,Alexander I. Rudnicky
Published 2000 in Unknown venue
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- Publication year
2000
- Venue
Unknown venue
- Publication date
2000-05-04
- Fields of study
Linguistics, Computer Science
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