Chara Tsoukala, S. Frank, A. V. D. Bosch, Jorge R. Valdés Kroff, M. Broersma
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引用次数: 5
Abstract
Multilingual speakers are able to switch from one language to the other (“code-switch”) between or within sentences. Because the underlying cognitive mechanisms are not well understood, in this study we use computational cognitive modeling to shed light on the process of code-switching. We employed the Bilingual Dual-path model, a Recurrent Neural Network of bilingual sentence production (Tsoukala et al., 2017), and simulated sentence production in simultaneous Spanish-English bilinguals. Our first goal was to investigate whether the model would code-switch without being exposed to code-switched training input. The model indeed produced code-switches even without any exposure to such input and the patterns of code-switches are in line with earlier linguistic work (Poplack,1980). The second goal of this study was to investigate an auxiliary phrase asymmetry that exists in Spanish-English code-switched production. Using this cognitive model, we examined a possible cause for this asymmetry. To our knowledge, this is the first computational cognitive model that aims to simulate code-switched sentence production.
多语言使用者能够在句子之间或句子内部从一种语言切换到另一种语言(“代码切换”)。由于潜在的认知机制尚未被很好地理解,在本研究中,我们使用计算认知模型来阐明代码转换的过程。我们采用双语双路径模型,双语句子生成的递归神经网络(Tsoukala et al., 2017),并模拟了西班牙语-英语双语者同时的句子生成。我们的第一个目标是调查模型是否会在不暴露于代码切换训练输入的情况下进行代码切换。即使没有任何输入,该模型也确实产生了代码转换,并且代码转换的模式与早期的语言学工作一致(Poplack,1980)。本研究的第二个目的是调查在西班牙语-英语语码转换生产中存在的辅助短语不对称。利用这种认知模型,我们研究了这种不对称的可能原因。据我们所知,这是第一个旨在模拟代码转换句子生成的计算认知模型。