Statistical Learning of a Morse Code Language is Improved by Bilingualism and Inhibitory Ability

James Bartolotti, Viorica Marian, Scott R. Schroeder, Anthony Shook

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

1 Scopus citations

Abstract

We examine the influence of bilingualism and inhibitory control on the ability to learn a novel language. Using a statistical learning paradigm, participants learned transitional probabilities in two novel languages based on the International Morse Code. First, participants listened to a low-interference language to test word segmentation skill. Next, participants listened to a high-interference language, in which a colliding cue to word boundaries in the form of compressed pauses between words conflicted with the language’s transitional probabilities. Results suggest that high proficiency in a second language can improve word learning in a novel language, but when interference during learning is high, language experience no longer confers a benefit and strong inhibitory control ability is necessary for learning to occur.

Original languageEnglish (US)
Title of host publicationExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011
EditorsLaura Carlson, Christoph Hoelscher, Thomas F. Shipley
PublisherThe Cognitive Science Society
Pages885-890
Number of pages6
ISBN (Electronic)9780976831877
StatePublished - 2011
Externally publishedYes
Event33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 - Boston, United States
Duration: Jul 20 2011Jul 23 2011

Publication series

NameExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011

Conference

Conference33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011
Country/TerritoryUnited States
CityBoston
Period7/20/117/23/11

Keywords

  • bilingualism
  • language acquisition
  • pattern recognition

ASJC Scopus subject areas

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

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