他们的变体:用核密度估计追踪挪威语历史上的语言扩散

IF 0.1 4区 文学 N/A LANGUAGE & LINGUISTICS
T. Blaxter
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引用次数: 3

摘要

从历史来源追溯语言创新在空间上的传播是具有挑战性的。需要的数据集的复杂性,加上历史语言数据的嘈杂现实,意味着它直到最近才成为现实。然而,更大的历史语料库和更丰富的时空信息使我们能够尝试。本文对挪威语历史上影响第一人称非单数代词的变化进行了研究:首先,影响双代词(vit > mit)和复数代词(v > m)的个体变化,其次是双重复数区分的丧失,合并为丹麦语-瑞典语vi或替换两者。为了创建这些变化的动态空间可视化,建议使用核密度估计。这个术语涵盖了一系列取决于核函数的统计工具。该论文主张在时间上使用高斯核,在空间上使用自适应均匀核(k近邻),允许不确定性或多重局部化被纳入计算。这个数据集的结果使我们能够在现代挪威方言模式和中世纪的语言使用之间建立联系;它们还体现了语言创新传播过程中不同类型的扩散过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ther varom mid j hia: Tracing linguistic diffusion in the history of Norwegian using kernel density estimation
Abstract Tracing the diffusion of linguistic innovations in space from historical sources is challenging. The complexity of the datasets needed in combination with the noisy reality of historical language data mean that it has not been practical until recently. However, bigger historical corpora with richer spatial and temporal information allow us to attempt it. This paper presents an investigation into changes affecting first person non-singular pronouns in the history of Norwegian: first, individual changes affecting the dual (vit > mit) and plural (vér > mér), followed by loss of the dual-plural distinction by merger into either form or replacement of both by Danish-Swedish vi. To create dynamic spatial visualisations of these changes, the use of kernel density estimation is proposed. This term covers a range of statistical tools depending on the kernel function. The paper argues for a Gaussian kernel in time and an adaptive uniform (k-nearest neighbours) kernel in space, allowing uncertainty or multiple localisation to be incorporated into calculations. The results for this dataset allow us to make a link between Modern Norwegian dialectological patterns and language use in the Middle Ages; they also exemplify different types of diffusion process in the spread of linguistic innovations.
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
10
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