Investigating geospatial models of the diffusion of morphosyntactic innovations: The Welsh strong second-person singular pronoun chdi

David Willis
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引用次数: 17

Abstract

Morphosyntactic dialect variation, once a neglected area of dialect research, has recently witnessed a large growth in interest. Various methods from geospatial data analysis have been applied to morphosyntactic data. To date, the focus has largely been on analyzing the distribution of stable patterns of variation. This article extends this work to examine patterns of ongoing change. It uses a body of data from the Syntactic Atlas of Welsh Dialects and the Siarad Corpus of spoken Welsh to examine the innovation and diffusion of a new second-person singular pronoun, chdi, testing the usefulness of Geographically Weighted Regression (GWR) as a method for identifying and modeling patterns of ongoing syntactic change. It is shown that GWR provides plausible models of the diachronic development of changes that are still in progress. Furthermore, it allows us to test whether rates of change are constant across geographical space, allowing us to test whether the Constant Rate Hypothesis (that diffusion of change proceeds at the same rate in different environments) holds between dialects.
形态句法创新扩散的地理空间模型研究:威尔士强第二人称单数代词chdi
方言形态句法变异曾经是方言研究中一个被忽视的领域,但近年来却引起了人们的极大兴趣。地理空间数据分析的各种方法已被应用于形态句法数据。到目前为止,重点主要放在分析稳定变异模式的分布上。本文扩展了这项工作,以检查正在进行的更改的模式。它使用了《威尔士方言句法图谱》和《威尔士口语Siarad语料库》中的大量数据来检验一种新的第二人称单数代词chdi的创新和传播,测试了地理加权回归(GWR)作为一种识别和建模正在进行的句法变化模式的方法的有用性。研究表明,GWR为仍在进行中的变化的历时发展提供了合理的模型。此外,它使我们能够测试整个地理空间的变化率是否恒定,使我们能够检验恒定率假说(即变化在不同环境中以相同的速度扩散)在方言之间是否成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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