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Learnability of Embedded Syntactic Structures Depends on Prosodic Cues

机译：嵌入式句法结构的可学习性取决于韵律提示

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摘要

The ability to process center-embedded structures has been claimed to represent a core function of the language faculty. Recently, several studies have investigated the learning of center-embedded dependencies in artificial grammar settings. Yet some of the results seem to question the learnability of these structures in artificial grammar tasks. Here, we tested under which exposure conditions learning of center-embedded structures in an artificial grammar is possible. We used naturally spoken syllable sequences and varied the presence of prosodic cues. The results suggest that mere distributional information does not suffice for successful learning. Prosodic cues marking the boundaries of the major relevant units, however, can lead to learning success. Thus, our data are consistent with the hypothesis that center-embedded syntactic structures can be learned in artificial grammar tasks if language-like acoustic cues are provided.
机译：据称处理中心嵌入式结构的能力代表了语言学院的核心职能。最近，一些研究调查了人工语法设置中中心嵌入依存关系的学习。然而，一些结果似乎对这些结构在人工语法任务中的可学习性提出了质疑。在这里，我们测试了在哪种曝光条件下可以学习人工语法的中心嵌入式结构。我们使用了自然发音的音节序列，并改变了韵律提示的存在。结果表明，仅分布信息不足以成功学习。但是，标出主要相关单元边界的韵律提示可能会导致学习成功。因此，我们的数据与这样的假说是一致的：如果提供类似语言的声音提示，则可以在人工语法任务中学习中心嵌入的句法结构。

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