Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar (2019)
Type of ContentConference Contributions - Published
PublisherAssociation for Computational Linguistics
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.
CitationDunn 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 Research47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)
20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguistics
Showing items related by title, author, creator and subject.
Production vs Perception: The Role of Individuality in Usage-Based Grammar Induction Nini A; Dunn, Jonathan (Association for Computational Linguistics, 2021)This paper asks whether a distinction between production-based and perception-based grammar induction influences either (i) the growth curve of grammars and lexicons or (ii) the similarity between representations learned ...
Modeling the Complexity and Descriptive Adequacy of Construction Grammars Dunn J (2018)This paper uses the Minimum Description Length paradigm to model the complexity of CxGs (operationalized as the encoding size of a grammar) alongside their descriptive adequacy (operationalized as the encoding size of a ...
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