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Post-nasal devoicing and the blurring process
Journal of Linguistics ( IF 0.8 ) Pub Date : 2018-11-13 , DOI: 10.1017/s002222671800049x
GAŠPER BEGUŠ

This paper addresses one of the most contested issues in phonology: unnatural alternations. First, non-natural phonological processes are subdivided into unmotivated and unnatural. The central topic of the paper is an unnatural process: post-nasal devoicing (PND). I collect thirteen cases of PND and argue that in all reported cases, PND does not derive from a single unnatural sound change (as claimed in some individual accounts of the data), but rather from a combination of three sound changes, each of which is phonetically motivated. I present new evidence showing that the three stages are directly historically attested in the pre-history of Yaghnobi. Based on several discussed cases, I propose a new diachronic model for explaining unnatural phenomena called the Blurring Process and point to its advantages over competing approaches (hypercorrection, perceptual enhancement, and phonetic motivation). The Blurring Process establishes general diachronic conditions for unnatural synchronic processes and can be employed to explain unnatural processes beyond PND. Additionally, I provide a proof establishing the minimal sound changes required for an unmotivated/unnatural alternation to arise. The Blurring Process and Minimal Sound Change Requirement have implications for models of typology within the Channel Bias approach. This paper thus presents a first step toward the ultimate goal of quantifying the influences of Channel Bias on phonological typology.

中文翻译:

鼻后清液和模糊过程

本文解决了音韵学中最具争议的问题之一:不自然的交替。首先,非自然语音过程被细分为无动机和非自然。这篇论文的中心话题是一个不自然的过程:鼻后清液 (PND)。我收集了 13 个 PND 案例,并认为在所有报告的案例中,PND 不是来自单个不自然的声音变化(如一些个人数据描述中所声称的),而是来自三个声音变化的组合,每一个都是语音动机。我提出了新的证据,表明这三个阶段在 Yaghnobi 的史前史中得到了直接的历史证明。基于几个讨论的案例,我提出了一种新的历时模型来解释非自然现象,称为模糊过程,并指出它优于竞争方法(超校正、感知增强和语音动机)。模糊过程为非自然同步过程建立了一般历时条件,并可用于解释 PND 之外的非自然过程。此外,我提供了一个证明,证明了无动机/不自然的交替出现所需的最小声音变化。模糊过程和最小声音变化要求对通道偏差方法中的类型模型有影响。因此,本文提出了朝着量化通道偏差对语音类型学影响的最终目标迈出的第一步。模糊过程为非自然同步过程建立了一般历时条件,并可用于解释 PND 之外的非自然过程。此外,我提供了一个证明,证明了无动机/不自然的交替出现所需的最小声音变化。模糊过程和最小声音变化要求对通道偏差方法中的类型模型有影响。因此,本文提出了朝着量化通道偏差对语音类型学影响的最终目标迈出的第一步。模糊过程为非自然同步过程建立了一般历时条件,并可用于解释 PND 之外的非自然过程。此外,我提供了一个证明,证明了无动机/不自然的交替出现所需的最小声音变化。模糊过程和最小声音变化要求对通道偏差方法中的类型模型有影响。因此,本文提出了朝着量化通道偏差对语音类型学影响的最终目标迈出的第一步。模糊过程和最小声音变化要求对通道偏差方法中的类型模型有影响。因此,本文提出了朝着量化通道偏差对语音类型学影响的最终目标迈出的第一步。模糊过程和最小声音变化要求对通道偏差方法中的类型模型有影响。因此,本文提出了朝着量化通道偏差对语音类型学影响的最终目标迈出的第一步。
更新日期:2018-11-13
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