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

Jonathan E Dunn

doi:10.18653/v1/W19-2913

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 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 language	English (US)
Title of host publication	Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Editors	Emmanuele Chersoni, Cassandra Jacobs, Alessandro Lenci, Tal Linzen, Laurent Prévot, Enrico Santus
Publisher	Association for Computational Linguistics
ISBN (Electronic)	9781948087964
DOIs	https://doi.org/10.18653/v1/W19-2913
State	Published - Jun 2019
Externally published	Yes

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Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar. / Dunn, Jonathan E.
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. ed. / Emmanuele Chersoni; Cassandra Jacobs; Alessandro Lenci; Tal Linzen; Laurent Prévot; Enrico Santus. Association for Computational Linguistics, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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