米斯特克语调的变化率和系统发育信号

IF 0.5 0 LANGUAGE & LINGUISTICS
Sandra Auderset
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引用次数: 0

摘要

尽管全世界有大量的声调语言,但人们对声调的非同步性仍然知之甚少,尤其是与音段的声音变化相比。这一空白导致了一种未经验证的假设,即音调天生就不稳定,变化难以预测。本文探讨的问题是:在墨西哥南部的米斯特克语言中,声调的变化是否快于音段,以及声调是否比音段显示出更少的系统发育信号。为此,我创建了一个包含 42 种米克斯特克语言样本的音调和音段声音变化数据库。我用度量指标 D 计算了系统发生学信号,并用隐马尔可夫模型估计了系统发生树后样本的变化率。结果表明,大多数音调变化都显示出系统发生学信号,而且音调变化的速度一般不会快于音段变化的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rates of change and phylogenetic signal in Mixtec tone

Despite the abundance of tonal languages around the world, the diachrony of tone is still poorly understood, especially when compared to segmental sound change. This lacuna has contributed to the untested assumption that tones are inherently unstable and change unpredictably. This paper addresses the questions of whether tones change faster than segments and whether tones show less phylogenetic signal than segments in the Mixtec languages of southern Mexico. To this end, I created a database of tonal and segmental sound changes across a sample of 42 Mixtec languages. I calculated phylogenetic signal with the metric D and estimated rates of change with a hidden Markov model across a posterior sample of phylogenetic trees. The results show that the majority of tone changes show phylogenetic signal and that they generally do not change at a faster rate than segments.

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来源期刊
Language Dynamics and Change
Language Dynamics and Change LANGUAGE & LINGUISTICS-
CiteScore
2.30
自引率
0.00%
发文量
7
期刊介绍: Language Dynamics and Change (LDC) is an international peer-reviewed journal that covers both new and traditional aspects of the study of language change. Work on any language or language family is welcomed, as long as it bears on topics that are also of theoretical interest. A particular focus is on new developments in the field arising from the accumulation of extensive databases of dialect variation and typological distributions, spoken corpora, parallel texts, and comparative lexicons, which allow for the application of new types of quantitative approaches to diachronic linguistics. Moreover, the journal will serve as an outlet for increasingly important interdisciplinary work on such topics as the evolution of language, archaeology and linguistics (‘archaeolinguistics’), human genetic and linguistic prehistory, and the computational modeling of language dynamics.
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