Stochastic Language Generation for Spoken Dialogue Systems

Alice H. Oh,Alexander I. Rudnicky

Published 2000 in Unknown venue

ABSTRACT

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.

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