Spoken Dialogue Processing Method with Learning Capability of Independency of Language

Y. Kimura, K. Araki, and K. Tochinai (Japan)


Inductive learning, Spoken dialogue, Spontaneous utterance, Genetic algorithm


Our purpose is to construct a spoken dialogue system that has the learning capability of independency of language. In general, a spoken dialogue system includes morphological, syntactic, semantic and context analy sis. These dialogue systems depend on knowledge at the initial condition. We consider that a spoken dialogue system should not depend on initial knowledge and we have proposed ”Spoken Dialogue Processing Method Using Inductive Learning with Genetic Algorithm (GA-ILSD)”. In this paper, we describe the experiment results for English and Japanese. And we have confirmed the independency of language of our proposed method.

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