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When it’s harder to ignorar than to ignore: Evidence of greater attentional capture from a non-dominant language ...
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When it’s harder to ignorar than to ignore: Evidence of greater attentional capture from a non-dominant language ...
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Supplemental_table – Supplemental material for When it’s harder to ignorar than to ignore: Evidence of greater attentional capture from a non-dominant language ...
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Supplemental_table – Supplemental material for When it’s harder to ignorar than to ignore: Evidence of greater attentional capture from a non-dominant language ...
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When It’s Harder to Ignorar than to Ignore: Evidence of Greater Attentional Capture from a Non-Dominant Language
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In: Int J Billing (2020)
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Covert Co-Activation of Bilinguals’ Non-Target Language: Phonological Competition from Translations
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The influence of native-language tones on lexical access in the second language
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Parallel language activation and inhibitory control in bimodal bilinguals
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Bilinguals Show Weaker Lexical Access During Spoken Sentence Comprehension
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Bilingual Two-Way Immersion Programs Benefit Academic Achievement
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Bimodal Bilinguals Co-activate Both Languages during Spoken Comprehension
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Subcortical encoding of sound is enhanced in bilinguals and relates to executive function advantages
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CLEARPOND: Cross-Linguistic Easy-Access Resource for Phonological and Orthographic Neighborhood Densities
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The Bilingual Language Interaction Network for Comprehension of Speech*
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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.
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Keyword:
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URL: http://www.ncbi.nlm.nih.gov/pubmed/24363602
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3866103
https://doi.org/10.1017/S1366728912000466
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Statistical Learning of a Morse Code Language is Improved by Bilingualism and Inhibitory Ability
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In: Bartolotti, James; Marian, Viorica; Schroeder, Scott; & Shook, Anthony. (2011). Statistical Learning of a Morse Code Language is Improved by Bilingualism and Inhibitory Ability. Proceedings of the Cognitive Science Society, 33(33). Retrieved from: http://www.escholarship.org/uc/item/6rt4964b (2011)
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