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

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dc.contributor.authorDunn J
dc.date.accessioned2019-05-14T00:05:29Z
dc.date.available2019-05-14T00:05:29Z
dc.date.issued2019en
dc.date.updated2019-04-11T01:49:34Z
dc.description.abstractA 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 frequencybased 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.en
dc.identifier.citationDunn J (2019). Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar. North American Chapter of the Association for Computational Linguistics: Workshop on Cognitive Modeling and Computational Linguistics.. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics..en
dc.identifier.urihttp://hdl.handle.net/10092/16698
dc.language.isoen
dc.publisherAssociation for Computational Linguisticsen
dc.subject.anzsrcFields of Research::47 - Language, communication and culture::4704 - Linguistics::470409 - Linguistic structures (incl. phonology, morphology and syntax)en
dc.subject.anzsrcField of Research::20 - Language, Communication and Culture::2004 - Linguistics::200402 - Computational Linguisticsen
dc.titleFrequency vs. Association for Constraint Selection in Usage-Based Construction Grammaren
dc.typeConference Contributions - Publisheden
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