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

Type of content
Conference Contributions - Published
Publisher's DOI/URI
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Publisher
Association for Computational Linguistics
Journal Title
Journal ISSN
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Language
Date
2019
Authors
Dunn J
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.

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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..
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ANZSRC fields of research
Fields of Research::47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)
Field of Research::20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics
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