为约会语言族证明校准的最佳实践

IF 2.1 N/A LANGUAGE & LINGUISTICS Journal of Language Evolution Pub Date : 2019-12-28 DOI:10.1093/jole/lzz009
Luke Maurits, M. D. Heer, T. Honkola, M. Dunn, O. Vesakoski
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引用次数: 15

摘要

使用计算方法来确定语言差异的绝对年代,正重新引起人们的兴趣,因为基于贝叶斯统计的现代方法为不可信的语言年代学技术提供了替代方案。这些新分析提供的年代主要取决于校准的使用,但围绕校准的方法问题相对较少受到关注。尤其值得注意的是,传统的历史语言学研究可以通过外来词分析对校准过程做出贡献。针对广大读者,我们详细讨论了校准理论和实践,评估了以前使用的校准,推荐了证明校准的最佳实践,并通过乌拉尔语族校准的详细推导提供了这些实践的具体示例。本文旨在激发围绕语言年代的所有统计方法的更高质量的学术研究,特别是统计方法的实践者与传统历史语言学家之间更密切的接触,前者更仔细地思考其校准背后的论点,后者更清楚地识别与校准相关的工作结果,甚至直接建议校准。
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Best practices in justifying calibrations for dating language families
The use of computational methods to assign absolute datings to language divergence is receiving renewed interest, as modern approaches based on Bayesian statistics offer alternatives to the discredited techniques of glottochronology. The datings provided by these new analyses depend crucially on the use of calibration, but the methodological issues surrounding calibration have received comparatively little attention. Especially, underappreciated is the extent to which traditional historical linguistic scholarship can contribute to the calibration process via loanword analysis. Aiming at a wide audience, we provide a detailed discussion of calibration theory and practice, evaluate previously used calibrations, recommend best practices for justifying calibrations, and provide a concrete example of these practices via a detailed derivation of calibrations for the Uralic language family. This article aims to inspire a higher quality of scholarship surrounding all statistical approaches to language dating, and especially closer engagement between practitioners of statistical methods and traditional historical linguists, with the former thinking more carefully about the arguments underlying their calibrations and the latter more clearly identifying results of their work which are relevant to calibration, or even suggesting calibrations directly.
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来源期刊
Journal of Language Evolution
Journal of Language Evolution Social Sciences-Linguistics and Language
CiteScore
4.50
自引率
7.70%
发文量
8
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