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

I. Farkaš, P. Li

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations

    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 (US)
    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
    StatePublished - 2002
    Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
    Duration: Nov 18 2002Nov 22 2002

    Publication series

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

    Other

    Other9th International Conference on Neural Information Processing, ICONIP 2002
    CountrySingapore
    CitySingapore
    Period11/18/0211/22/02

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

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