Simulation of phonemic errors using artificial intelligence symbol processing techniques

  • Authors:
  • James A. Reggia;Sanjeev B. Ahuja

  • Affiliations:
  • -;-

  • Venue:
  • ANSS '84 Proceedings of the 17th annual symposium on Simulation
  • Year:
  • 1984

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Abstract

Using heuristically-guided state space search, a program has been developed to simulate phonemic errors occurring in the speech of both normal individuals and neurologically-impaired patients. Simulations are based on an interchangeable rule/operator set of elementary errors which represent a theory of phonemic processing faults. This work is significant because it introduces and evaluates a novel approach to error simulation, it provides a prototype simulation tool for neurolinguistic research, and it forms the initial phase of a larger research effort involving computer modelling of neurolinguistic processes.