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Language Control and Code-switching

机译:语言控制和代码切换

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Analyses of corpus-based indices of conversational code-switching in bilingual speakers predict the occurrence of intra-sentential code-switches consistent with the joint activation of both languages. Yet most utterances contain no code-switches despite good evidence for the joint activation of both languages even in single language utterances. Varying language activation levels is an insufficient mechanism to explain the variety of language use. We need a model of code-switching, consistent with the joint activation of both languages, which permits the range of language use in bilingual speakers. I treat overt speech as the outcome of a number of competitive processes governed by a set of control processes external to the language networks. In a conversation, the speech of the other person may “trigger” code-switches consistent with bottom-up control. By contrast, the intentions of the speaker may act top-down to set the constraints on language use. Given this dual control perspective, the paper extends the control process model (Green and Wei 2014) to cover a plausible neurocomputational basis for the construction and execution of utterance plans in code-switching. Distinct control states mediate different types of language use with switching frequency as a key parameter in determining the control state for code-switches. The paper considers the nature of these states and their transitions.
机译:基于语料库的双语说话者的会话代码转换索引的分析预测了与两种语言的联合激活相一致的句子内代码转换的发生。尽管有充分的证据证明即使在单一语言中,两种语言都可以共同激活,但大多数语言都没有代码转换。不同的语言激活级别不足以解释各种语言使用的机制。我们需要一种与两种语言共同激活相一致的代码转换模型,以允许双语者使用多种语言。我将公开语音视为语言体系外部一系列控制过程所控制的许多竞争过程的结果。在对话中,其他人的语音可能会“触发”与自下而上的控制一致的代码开关。相反,说话者的意图可以自上而下地设定对语言使用的限制。鉴于这种双重控制的观点,本文扩展了控制过程模型(Green和Wei 2014),涵盖了代码转换中话语计划的构建和执行的合理的神经计算基础。不同的控制状态介导使用不同类型的语言,其中开关频率是确定代码开关控制状态的关键参数。本文考虑了这些状态及其过渡的性质。

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