A Learning Approach to Natural Language Understanding

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In 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
18 pages, Latex file + compressed figures

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Computation and Language

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http://salesiana.dossiersoluciones.com/handle/123456789/150989

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cmp-lg/9406003
 http://arxiv.org/abs/cmp-lg/9406003
 "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

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arXiv