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A computational learning model for metrical phonology.

B E Dresher1, J D Kaye

  • 1Department of Linguistics, University of Toronto, Ontario, Canada.

Cognition
|February 1, 1990
PubMed
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This study presents a computer program for learning phonological stress systems, addressing the linguistic projection problem. It models Universal Grammar (UG) to explain how children acquire complex language structures from limited input.

Area of Science:

  • Linguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • The projection problem in linguistics challenges explaining how children acquire complex grammars from limited, unsystematic data.
  • Understanding the learnability of specific linguistic subsystems, like phonological stress, is crucial for linguistic theory.

Purpose of the Study:

  • To investigate the learnability of phonological stress systems using a computational approach.
  • To model the acquisition of stress systems based on Chomsky's principles and parameters framework.

Main Methods:

  • Developed a computer program to acquire phonological stress structure.
  • Encoded Universal Grammar (UG) principles and parameters relevant to stress systems.
  • Simulated the learning process by fixing parameters based on primary linguistic data.

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Main Results:

  • Demonstrated a computational model for acquiring stress systems within the principles and parameters framework.
  • Explored formal properties of the learning system, including parameter dependencies and learning strategies.
  • Provided insights into the learnability of parameter systems in general.

Conclusions:

  • The principles and parameters model offers a viable computational approach to linguistic learnability.
  • Parameter fixing is a key mechanism in acquiring complex phonological structures like stress systems.
  • Further research can explore cross-parameter dependencies and different learning paradigms.