A computational learning model for metrical phonology

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Abstract

One of the major challenges to linguistic theory is the solution of what has been termed the "projection problem". Simply put, linguistics must account for the fact that starting from a data base that is both unsystematic and relatively small, a human child is capable of constructing a grammar that mirrors, for all intents and purposes, the adult system. In this article we shall address ourselves to the question of the learnability of a postulated subsystem of phonological structure: the stress system. We shall describe a computer program which is designed to acquire this subpart of linguistic structure. Our approach follows the "principles and parameters" model of Chomsky (1981a, b). This model is particularly interesting from both a computational point of view and with respect to the development of learning theories. We encode the relevant aspects of universal grammar (UG) - those aspects of linguistic structure that are presumed innate. © 1990.

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Dresher, B. E., & Kaye, J. D. (1990). A computational learning model for metrical phonology. Cognition, 34(2), 137–195. https://doi.org/10.1016/0010-0277(90)90042-I

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