在方言获取过程中,偏好不同的变体来学习声音对应性
1Department of Linguistics, The University of Hong Kong, Hong Kong SAR.
Language and speech
|January 15, 2025
概括
学习者在复杂的第二方言学习中更喜欢不同的声音对应 (SC). 这种偏好只出现了足够明显的变体和复杂的映射结构,而不是简单的.
科学领域:
- 音声学获取 音声学获取 声学获取
- 第二个方言学习学习.
- 社会语言学 社会语言学
背景情况:
- 音符对应 (SC) 是第二方言学习中可学习的声学模式.
- SCs可以涉及类似或不同的变体,但变体相似性对SC学习的影响还未得到充分研究.
- 现有的假设表明,要么偏好不同的 (突出性假设) 或相似的 (学习偏差假设) 变体.
研究的目的:
- 在人工语言学习实验中,研究声音相似性如何影响学习声音对应性 (SCs).
- 测试学习者是否喜欢SC中类似或不同的变体.
- 检查复杂度映射在SC学习中的作用.
主要方法:
- 一个人工语言学习实验旨在评估SC学习.
- 方言变体之间的相似程度是使用多维语音和语音学指标来测量的.
- 这些指标与类型学证据进行了交叉验证.
- 分析了一对一,二对一和一对两SC的学习.
主要成果:
- 在学习简单的一对一SCs时,没有观察到变体相似性的显著影响.
- 在学习具有复杂映射结构的SCs (二对一和一对二) 中,对最明显的方言变体产生了偏好.
- 这种对鲜明性的偏好取决于映射结构的复杂性和声音距离的大小.
结论:
- 这项研究证实了对SC学习的不同变体的偏好,但只有在特定条件下.
- 这种偏好是由复杂的映射结构触发的,并且需要变体之间有足够的声学距离.
- 这些发现有助于理解影响第二方言学习中的声学模式学习的因素.
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