Linking speech errors and phonological grammars: Insights from Harmonic Grammar networks.
Linking speech errors and phonological grammars: Insights from Harmonic Grammar networks.
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连接语音错误和语音语法：来自谐波语法网络的见解。
DOI：
10.1017/s0952675709001742
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发表时间：
2009
期刊：
影响因子：
1.3
通讯作者：
Daland,Robert
中科院分区：
文献类型：
--
作者：
Goldrick,Matthew;Daland,Robert
音系语法的特点是区分结构相对良好（未标记）和结构相对不良（已标记）的音系结构。我们回顾了标记影响语音错误概率的证据。具体来说，虽然错误会导致未标记和标记的结构，但存在标记不对称：错误更有可能产生未标记的结果。我们表明，实现谐波语法（HG）的计算机制的随机中断可以解释语音错误的广泛经验模式。我们证明，我们的建议可以解释一般的标记不对称。我们还开发了将特定的HG建议与语音错误分布联系起来的方法，并使用一个简单的HG和英语中一组初始辅音错误来说明这些方法。
Phonological grammars characterise distinctions between relatively well-formed (unmarked) and relatively ill-formed (marked) phonological structures. We review evidence that markedness influences speech-error probabilities. Specifically, although errors result in unmarked as well as marked structures, there is a markedness asymmetry: errors are more likely to produce unmarked outcomes. We show that stochastic disruption to the computational mechanisms realising a Harmonic Grammar (HG) can account for the broad empirical patterns of speech errors. We demonstrate that our proposal can account for the general markedness asymmetry. We also develop methods for linking particular HG proposals to speech-error distributions, and illustrate these methods using a simple HG and a set of initial consonant errors in English.