Bilingual and Multilingual Mental Lexicon: A Modeling Study With Linear Discriminative Learning,Language Learning

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Bilingual and Multilingual Mental Lexicon: A Modeling Study With Linear Discriminative Learning
Language Learning ( IF 3.5 ) Pub Date : 2020-11-30 , DOI: 10.1111/lang.12435
Yu‐Ying Chuang ₁ , Melanie J. Bell ₂ , Isabelle Banke ₁ , R. Harald Baayen ₁

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This study addresses whether there is anything special about learning a third language, as compared to learning a second language, that results solely from the order of acquisition. We use a computational model based on the mathematical framework of Linear Discriminative Learning to explore this question for the acquisition of a small trilingual vocabulary, with English as L1, German or Mandarin as L2, and Mandarin or Dutch as L3. Our simulations reveal that when qualitative differences emerge between the learning of a first, second, and third language, these differences emerge from distributional properties of the particular languages involved rather than the order of acquisition per se, or any difference in learning mechanism. One such property is the number of homophones in each language, since within‐language homophones give rise to errors in production. Our simulations also show the importance of suprasegmental information in determining the kinds of production errors made.

中文翻译：

双语和多语言心理词典：带有线性判别学习的建模研究

与学习第二种语言相比，本研究研究的是与学习第二种语言相比，是否有其他仅由习得顺序导致的特殊问题。我们使用基于线性判别学习的数学框架的计算模型来探索此问题，以获取小的三语词汇，其中英语为L1，德语或普通话为L2，普通话或荷兰语为L3。我们的模拟显示，当在学习第一，第二和第三种语言之间出现质的差异时，这些差异是由于所涉及的特定语言的分布特性而不是习得本身的顺序或学习机制上的任何差异而引起的。其中一种属性是每种语言的同音字的数量，因为同语言内的同音字会引起生产错误。我们的模拟还显示了超分段信息在确定生产错误种类方面的重要性。

更新日期：2020-12-23

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