Aphasia Research Laboratory, Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA 02215, USA.
Department of Computer Science, The University of Texas at Austin, TX 78712, USA.
Brain Lang. 2019 Aug;195:104643. doi: 10.1016/j.bandl.2019.104643. Epub 2019 Jun 24.
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.
双语者的词汇通达可以受到其个体语言学习历史中多种因素的调节。我们开发了 BiLex 计算模型,以检验第二语言习得年龄、语言使用和接触对双语者词汇提取的影响。我们评估了 28 名西班牙语-英语双语者和 5 名单语者的图片命名技能,并在每种语言中填写了语言使用问卷。我们考察了 BiLex 是否可以:(i) 在考虑双语者的第二语言习得年龄、语言使用和接触的情况下,模拟他们在每种语言中的命名表现;(ii) 预测未用于模型训练的其他参与者的命名表现。我们的研究结果表明,BiLex 可以准确地模拟双语者的命名表现,这表明第二语言习得年龄、语言使用和接触的差异可以解释双语词汇通达的个体差异。