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BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access (2019)
Claudia Peñaloza,
Uli Grasemann
, Maria Dekhtyar,
Risto Miikkulainen
, and
Swathi Kiran
Lexical access in bilinguals can be modulated by multiple factors in their individual language learning history. We developed the BiLex computational model to examine the effects of L2 age of acquisition, language use and exposure on lexical retrieval in bilingual speakers. Twenty-eight Spanish-English bilinguals and five monolinguals recruited to test and validate the model were evaluated in their picture naming skills in each language and filled out a language use questionnaire. We examined whether BiLex can (i) simulate their naming performance in each language while taking into account their L2 age of acquisition, use and exposure to each language, and (ii) predict naming performance in other participants not used in model training. Our findings showed that BiLex could accurately simulate naming performance in bilinguals, suggesting that differences in L2 age of acquisition, language use and exposure can account for individual differences in bilingual lexical access.
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Citation:
Brain and Language
, 195(104643), 2019.
Bibtex:
@article{penaloza:brainlang19, title={BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access}, author={Claudia Peñaloza, Uli Grasemann and Maria Dekhtyar and Risto Miikkulainen and Swathi Kiran}, volume={195}, journal={Brain and Language}, number={104643}, month={ }, url="http://nn.cs.utexas.edu/?penaloza:brainlang19", year={2019} }
People
Uli Grasemann
Postdoctoral Alumni
uli [at] cs utexas edu
Swathi Kiran
Collaborator
kirans [at] bu edu
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Software/Data
BiLex
Download at GitHub
.
A self-organizing map model of bilingual aphasia. ...
2021
Areas of Interest
Natural Language Processing (Cognitive)
Cognitive Science
Brain and Cognitive Disorders
Computational Neuroscience
Unsupervised Learning, Clustering, and Self-Organization