鞑靼语的声母和末音节:从语音策略到词法

IF 0.2 Q4 LINGUISTICS
Glottometrics Pub Date : 2021-05-01 DOI:10.53482/2021_50_388
A. Galieva, Zhanna Vavilova
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引用次数: 0

摘要

本文提出了一种利用小说文本数据分析鞑靼语音节结构的方法。每一种语言的音节结构规则都是独一无二的,因为它们是由支配其特定内部结构的规律决定的。然而,这个音节的问题在鞑靼语语法中得到了相当肤浅的描述。因此,本文将研究音节结构与语言形态特征之间可能存在的相关性。我们分析了鞑靼语文本中音节类型的分布,并通过Zipf Mandelbrot分布表示了它们的排列频率和理论值。本研究的主要部分是探讨汉语声母和声母的结构。我们从词干和词缀链的区别结构特征的假设出发,认为词干和词尾位置的音节结构分布在统计上具有重要差异。这项研究是基于对阻塞辅音和辅音的选择。为了评估这些差异的统计显著性,应用了众所周知的卡方检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Initial and Final Syllables in Tatar: from Phonotactics to Morphology
The paper proposes a methodology for analyzing the syllabic structure of Tatar words using fiction text data. Syllable construction rules are unique for each language as they are determined by the laws that govern its specific internal structure. However, the issue of the syllable finds a rather superficial description in Tatar grammars. Thus, possible correlations of the syllable structure with morphological features of the language will be examined in this paper. We analyze the distribution of syllable types in Tatar texts and represent their ranked frequencies and theoretical values fitted by means of the Zipf Mandelbrot distribution. The main part of the study is devoted to inquiry into the structure of initial and final syllables. We proceed from the hypothesis that distributions of syllable structures in word-initial and word-final positions should be marked by statistically important differences due to discriminative structural features of stems and affixal chains. The study is based on a selection of obstruent and sonorant consonants. To evaluate statistical significance of these differences, the well-known chi square test is applied.
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来源期刊
Glottometrics
Glottometrics LINGUISTICS-
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The aim of Glottometrics is quantification, measurement and mathematical modeling of any kind of language phenomena. We invite contributions on probabilistic or other mathematical models (e.g. graph theoretic or optimization approaches) which enable to establish language laws that can be validated by testing statistical hypotheses.
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