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    Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar (2019)

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    Type of Content
    Conference Contributions - Published
    UC Permalink
    http://hdl.handle.net/10092/16698
    
    Publisher
    Association for Computational Linguistics
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    • Arts: Conference Contributions [218]
    Authors
    Dunn J
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    Abstract

    A usage-based Construction Grammar (CxG) posits that slot-constraints generalize from common exemplar constructions. But what is the best model of constraint generalization? This paper evaluates competing frequencybased and association-based models across eight languages using a metric derived from the Minimum Description Length paradigm. The experiments show that association-based models produce better generalizations across all languages by a significant margin.

    Citation
    Dunn J (2019). Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar. North American Chapter of the Association for Computational Linguistics: Workshop on Cognitive Modeling and Computational Linguistics.. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics..
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)
    20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics

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