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Insights into the neural mechanisms of becoming bilingual: A brief synthesis of second language research with artificial linguistic systems

Published online by Cambridge University Press:  05 November 2019

Kara Morgan-Short Open the ORCID record for Kara Morgan-Short [Opens in a new window]
Kara Morgan-Short*
Affiliation:
Department of Hispanic and Italian Studies Department of Psychology, University of Illinois at Chicago
*
Address for correspondence: Kara Morgan-Short, E-mail: karams@uic.edu
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Abstract

Artificial linguistic systems can offer researchers test tube-like models of second language (L2) acquisition through which specific questions can be examined under tightly controlled conditions. This paper examines what research with artificial linguistic systems has revealed about the neural mechanisms involved in L2 grammar learning. It first considers the validity of meaningful and non-meaningful artificial linguistic systems. Then it contextualizes and synthesizes neural artificial linguistic system research related to questions about age of exposure to the L2, type of exposure, and online L2 learning mechanisms. Overall, using artificial linguistic systems seems to be an effective and productive way of developing knowledge about L2 neural processes and correlates. With further validation, artificial linguistic system paradigms may prove an important tool more generally in understanding how individuals learn new linguistic systems as they become bilingual.

Keywords

second languageartificial languageartificial grammarevent-related potentials
Type
Review Article
Information
Bilingualism: Language and Cognition , Volume 23 , Issue 1 , January 2020 , pp. 87 - 91
Copyright
Copyright © Cambridge University Press 2019 

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