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) |
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| 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 | |
| State | Published - Jun 2019 |
| Externally published | Yes |