DevLex: A self-organizing neural network model of the development of lexicon

I. Farkaš, P. Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

In this paper we present the DevLex model of language acquisition. DevLex consists of two self-organizing maps (a growing semantic map and a phonological map) that are connected via associative links. It simulates the early stages of lexical development in children, in particular, word confusion as evidenced in naming errors. The simulation results indicate that the rate of word confusion is modulated by developmental profile of vocabulary increase, word density of competing neighbors, and rate of lexical growth. These results match up with hypotheses from empirical research on lexical development.

Original languageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Subtitle of host publicationComputational Intelligence for the E-Age
EditorsXin Yao, Kunihiko Fukushima, Soo-Young Lee, Lipo Wang, Jagath C. Rajapakse
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2546-2551
Number of pages6
ISBN (Electronic)9810475241, 9789810475246
DOIs
Publication statusPublished - 1 Jan 2002
Externally publishedYes
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 18 Nov 200222 Nov 2002

Publication series

NameICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Volume5

Conference

Conference9th International Conference on Neural Information Processing, ICONIP 2002
CountrySingapore
CitySingapore
Period18/11/0222/11/02

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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