A Learning Approach to Natural Language Understanding

Roberto Pieraccini; Esther Levin

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arXiv · cmp-lg/9406003

A Learning Approach to Natural Language Understanding

Roberto Pieraccini·Esther Levin

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Abstract

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

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Roberto Pieraccini, Esther Levin. 1994-06-01. A Learning Approach to Natural Language Understanding. https://arxiv.org/abs/cmp-lg/9406003

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