Error-Based Learning: A Mechanism for Linking Verbs to Syntax

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Children and adults are guided by verb-specific syntactic likelihoods, or verb bias, in language comprehension and production. Recent reports showed that verb bias can be altered by new linguistic experience. We investigated the mechanisms underlying this verb bias learning or adaptation. Specifically, we asked whether verb bias learning, like abstract syntactic priming, is driven by error-based implicit learning. We report three experiments in which we altered the biases of familiar dative verbs in children's and adults' sentence production, via training trials that induced participants to produce each verb consistently in either double-object or prepositional-object dative structures. Participants' syntactic choices in later test trials reflected the expected adaptation of verb bias to the training experience. In addition, the magnitude of the training effect varied with the likelihood of each sentence structure and with pre-existing verb bias: Unexpected verb-structure combinations resulted in larger training effects, suggesting the operation of error-based implicit learning.

Original languageEnglish (US)
Title of host publicationCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society
Subtitle of host publicationComputational Foundations of Cognition
PublisherThe Cognitive Science Society
Pages754-759
Number of pages6
ISBN (Electronic)9780991196760
StatePublished - 2017
Externally publishedYes
Event39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 - London, United Kingdom
Duration: Jul 26 2017Jul 29 2017

Publication series

NameCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition

Conference

Conference39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
Country/TerritoryUnited Kingdom
CityLondon
Period7/26/177/29/17

Keywords

  • error-based learning
  • implicit learning
  • language acquisition
  • surprisal
  • verb bias

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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