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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