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

Autor:	Dunn, Jonathan
Rok vydání:	2019
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1904.05529 Zobrazit plný text záznamu View this record from Arxiv