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    LSE Grenoble

    A MDL-based Model of Gender Knowledge Acquisition

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    This paper presents an iterative model of knowledge acquisition of gender information associated with word endings in French. Gender knowledge is represented as a set of rules containing exceptions. Our model takes noun-gender pairs as input and constantly maintains a list of rules and exceptions which is both coherent with the input data and minimal with respect to a minimum description length criterion. This model was compared to human data at various ages and showed a good fit. We also compared the kind of rules discovered by the model with rules usually extracted by linguists and found interesting discrepancies.

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    Description

    Title : A MDL-based Model of Gender Knowledge Acquisition
    Author(s) : Harmony Marchal, Benoit Lemaire, Maryse Bianco, Philippe Dessus
    Abstract : This paper presents an iterative model of knowledge acquisition of gender information associated with word endings in French. Gender knowledge is represented as a set of rules containing exceptions. Our model takes noun-gender pairs as input and constantly maintains a list of rules and exceptions which is both coherent with the input data and minimal with respect to a minimum description length criterion. This model was compared to human data at various ages and showed a good fit. We also compared the kind of rules discovered by the model with rules usually extracted by linguists and found interesting discrepancies.
    Keywords : applied cognitive psychology, computational linguistics

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2008

    Affiliations LSE Grenoble
    Journal : CoNLL 2008 Proceedings of the Twelfth Conference on Computationa
    Issue : August
    Publisher : Association for Computational Linguistics
    Pages : 73-80
    Url : http://cogprints.org/6177/

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    Philippe's Peer Evaluation activity

    Trusted by 1
    Downloads 4
    Views 1
    Followed by 1
    • Stefan Trausan-Matu, Professor, Computer Science Department, Politehnica University of Bucharest, Research Institute for Artificial Intelligence.
    Following... 1
    • Stefan Trausan-Matu, Professor, Computer Science Department, Politehnica University of Bucharest, Research Institute for Artificial Intelligence.

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