A Computational Basis for Phonology

Abstract

The phonological structure of human languages is intricate, yet highly constrained. Through a combination of connectionist modeling and linguistic analysis, we are attempting to develop a computational basis for the nature of phonology. We present a connectionist architecture that performs multiple simultaneous insertion, deletion, and mutation operations on sequences of phonemes, and introduce a novel additional primitive, clustering. Clustering provides an interesting alternative to both iterative and relaxation accounts of assimilation processes such as vowel harmony. Our resulting model is efficient because it processes utterances entirely in parallel using only feed-forward circuitry.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1990
Accession Number
ADA225536

Entities

People

  • David S. Touretzky
  • Deidre W. Wheeler

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Clustering
  • Cognitive Science
  • Computer Science
  • Computers
  • Computing System Architectures
  • Consonants
  • Information Processing
  • Intelligent Systems
  • Language
  • Linguistics
  • Military Research
  • Nervous System
  • Phonology
  • Procurement
  • Psychology
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence
  • Speech Processing/Speech Recognition.