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A Dual-Route Model that Learns to Pronounce English WordsThis paper describes a model that learns to pronounce English words. Learning occurs in two modules: 1) a rule-based module that constructs pronunciations by phonetic analysis of the letter string, and 2) a whole-word module that learns to associate subsets of letters to the pronunciation, without phonetic analysis. In a simulation on a corpus of over 300 words the model produced pronunciation latencies consistent with the effects of word frequency and orthographic regularity observed in human data. Implications of the model for theories of visual word processing and reading instruction are discussed.
Document ID
20020033018
Document Type
Conference Paper
Authors
Remington, Roger W. (NASA Ames Research Center Moffett Field, CA United States)
Miller, Craig S. (Carnegie-Mellon Univ. Pittsburgh, PA United States)
Null, Cynthia H.
Date Acquired
August 20, 2013
Publication Date
January 1, 1995
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Meeting Information
Annual Cognitive Science Society Meeting(Pittsburgh, PA)
Funding Number(s)
PROJECT: RTOP 505-64-13
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.