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

Jonathan Dunn


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.
Anthology ID:
W19-2913
Volume:
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venue:
CMCL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
117–128
Language:
URL:
https://aclanthology.org/W19-2913
DOI:
10.18653/v1/W19-2913
Bibkey:
Cite (ACL):
Jonathan Dunn. 2019. Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, pages 117–128, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar (Dunn, CMCL 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-2913.pdf
Software:
 W19-2913.Software.zip