Proceedings chapter
OA Policy
English

Modeling form similarity in the mental lexicon with self-organizing feature maps

Presented atNürnberg (Germany), 7.–9. Oktober 1992
PublisherBerlin, Heidelberg : Springer
Publication date1992
Abstract

This paper describes recent efforts to model the remarkable ability of humans to recognize speech and words. Different techniques 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.

Affiliation entities Not a UNIGE publication
Citation (ISO format)
WITTENBURG, Peter, FRAUENFELDER, Ulrich Hans. Modeling form similarity in the mental lexicon with self-organizing feature maps. In: Konvens 92: 1. Konferenz „Verarbeitung natürlicher Sprache“. Nürnberg (Germany). Berlin, Heidelberg : Springer, 1992. doi: 10.1007/978-3-642-77809-4_16
Main files (1)
Proceedings chapter (Accepted version)
accessLevelPublic
Identifiers
ISBN978-3-540-55959-7
447views
205downloads

Technical informations

Creation06/02/2016 2:40:00 PM
First validation06/02/2016 2:40:00 PM
Update time03/15/2023 12:27:39 AM
Status update03/15/2023 12:27:39 AM
Last indexation10/31/2024 3:41:54 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack