A Learning Approach to Natural Language Understanding

dc.creatorPieraccini, Roberto
dc.creatorLevin, Esther
dc.date1994-06-01
dc.date.accessioned2026-07-07T09:09:18Z
dc.date.available2026-07-07T09:09:18Z
dc.descriptionIn this paper we propose a learning paradigm for the problem of understanding spoken language. The basis of the work is in a formalization of the understanding problem as a communication problem. This results in the definition of a stochastic model of the production of speech or text starting from the meaning of a sentence. The resulting understanding algorithm consists in a Viterbi maximization procedure, analogous to that commonly used for recognizing speech. The algorithm was implemented for building
dc.description18 pages, Latex file + compressed figures
dc.identifierhttps://arxiv.org/abs/cmp-lg/9406003
dc.identifierhttp://arxiv.org/abs/cmp-lg/9406003
dc.identifier"New Advances and Trends in Speech Recognition and Coding", NATO ASI Series, Springer-Verlag, proceedings of the 1993 NATO ASI Summer School, Bubion, Spain, June-July 1993
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/150989
dc.subjectComputation and Language
dc.titleA Learning Approach to Natural Language Understanding
dc.typetext

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