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Proceedings chapter
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English

Modeling the human mental lexicon with self-organizing feature maps

Contributors

Wittenburg, Peter; Frauenfelder, Ulrich Hans

Presented at

Twente, May 12-13, 1992

Published in

M.F.J. Drossaers & A. Nijholt (Ed.), Connectionism and natural language processing. Proceedings of the third Twente Workshop on Language Technology

Publisher

University of Twente

Publication date

1992

Abstract

Recent efforts to model the remarkable ability of humans to recognize speech and words are described. Different techniques including the use of neural nets for representing phonological similarity between words in the lexicon with self organizing algorithms are discussed. Simulations using the standard Kohonen algorithm are presented to illustrate some problems confronted with this technique in modeling similarity relations of form in the human mental lexicon. Alternative approaches that can potentially deal with some of these limitations are sketched.

UNIGE affiliation entities

Not a UNIGE publication

Citation (ISO format)

WITTENBURG, Peter, FRAUENFELDER, Ulrich Hans. Modeling the human mental lexicon with self-organizing feature maps. In: Connectionism and natural language processing. Proceedings of the third Twente Workshop on Language Technology. M.F.J. Drossaers & A. Nijholt (Ed.). Twente. [s.l.] : University of Twente, 1992.

Main files (1)

Proceedings chapter (Published version)

Identifiers

  • PID : unige:84384

Additional URL for this publication

http://doc.utwente.nl/77429/
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Technical informations

Creation

02/06/2016 14:33:00

First validation

02/06/2016 14:33:00

Update

15/03/2023 00:26:32

Status update

15/03/2023 00:26:32

Last indexation

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