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

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


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 frequency-based 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.
Original languageEnglish (US)
Title of host publicationProceedings of the Workshop on Cognitive Modeling and Computational Linguistics
EditorsEmmanuele Chersoni, Cassandra Jacobs, Alessandro Lenci, Tal Linzen, Laurent Prévot, Enrico Santus
PublisherAssociation for Computational Linguistics
ISBN (Electronic)9781948087964
StatePublished - Jun 2019
Externally publishedYes


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