The bilingual language interaction network for comprehension of speech

Anthony Shook*, Viorica Marian

*Corresponding author for this work

Research output: Contribution to journalArticle

83 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)304-324
Number of pages21
JournalBilingualism
Volume16
Issue number2
DOIs
StatePublished - Apr 1 2013

Keywords

  • connectionist models
  • language interaction
  • modeling speech processing
  • self-organizing maps
  • spoken language comprehension

ASJC Scopus subject areas

  • Education
  • Language and Linguistics
  • Linguistics and Language

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