Automatic induction of language model data for a spoken dialogue system.

In this paper, we address the issue of generating in-domain language model training data when little or no real user data are available. The two-stage approach taken begins with a data induction phase whereby linguistic constructs from out-of-domain sentences are harvested and integrated with artifi...

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Publicado en:	Language Resources & Evaluation Vol. 40; no. 1; pp. 25 - 47
Autores principales:	Chao Wang, Chung, Grace, Seneff, Stephanie
Formato:	Artículo
Publicado:	Springer Nature Feb2006
Materias:	Dialogue analysis Interpersonal communication Simulation methods & models Recognition (Psychology) Information resources Language & languages
Acceso en línea:	Ver este registro en EBSCOhost