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The Bilingual Language Interaction Network for Comprehension of Speech*

Published online by Cambridge University Press:  06 September 2012

ANTHONY SHOOK*
Affiliation:
Northwestern University
VIORICA MARIAN
Affiliation:
Northwestern University
*
Address for correspondence: Anthony Shook, Department of Communication Sciences and Disorders, Northwestern University, 2240 Campus Drive, Evanston, IL 60208, USAa-shook@northwestern.edu

Abstract

During speech comprehension, bilinguals co-activate both of their languages, resulting in cross-linguistic interaction at various levels of processing. This interaction has important consequences for both the structure of the language system and the mechanisms by which the system processes spoken language. Using computational modeling, we can examine how cross-linguistic interaction affects language processing in a controlled, simulated environment. Here we present a connectionist model of bilingual language processing, the Bilingual Language Interaction Network for Comprehension of Speech (BLINCS), wherein interconnected levels of processing are created using dynamic, self-organizing maps. BLINCS can account for a variety of psycholinguistic phenomena, including cross-linguistic interaction at and across multiple levels of processing, cognate facilitation effects, and audio-visual integration during speech comprehension. The model also provides a way to separate two languages without requiring a global language-identification system. We conclude that BLINCS serves as a promising new model of bilingual spoken language comprehension.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2012 

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