Using Historical Glottometry to Subgroup the Early Germanic Languages

IF 0.4 3区 文学 0 LANGUAGE & LINGUISTICS Journal of Germanic Linguistics Pub Date : 2021-11-11 DOI:10.1017/S1470542721000027
Joshua R. Agee
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Abstract

Historical Glottometry, introduced by Kalyan & François (2018), is a wave-based quantitative approach to language subgrouping used to calculate the overall strength of a linguistic subgroup using metrics that capture the contributions of linguistic innovations of various scopes to language diversification, in consideration of the reality of their distributions. This approach primarily achieves this by acknowledging the contribution of postsplit areal diffusion to language diversification, which has traditionally been overlooked in cladistic (tree-based) models. In this paper, the development of the Germanic language family, from the breakup of Proto-Germanic to the latest period of the early attested daughter languages (namely, Old English, Old Frisian, Gothic, Old High German, Old Low Franconian, Old Norse, and Old Saxon) is accounted for using Historical Glottometry. It is shown that this approach succeeds in accounting for several smaller, nontraditional subgroups of Germanic by accommodating the linguistic evidence unproblematically where a cladistic approach would fail.
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用历史声速法对早期日耳曼语进行分类
Kalyan和François(2018)提出的历史Glottometry是一种基于波动的语言子组定量方法,用于计算语言子组的整体强度,该方法使用的指标捕捉了不同范围的语言创新对语言多样化的贡献,并考虑到其分布的现实性。这种方法主要通过承认分裂后区域扩散对语言多样化的贡献来实现这一点,而这在分支(基于树的)模型中传统上被忽视了。在本文中,从原始日耳曼语的分裂到早期证明的子语言(即古英语、古弗里斯语、哥特语、古高地德语、古低地法语、古挪威语和古撒克逊语)的最新时期,日耳曼语族的发展都是用历史语来解释的。研究表明,这种方法成功地解释了日耳曼语的几个较小的非传统亚群,在分支方法失败的地方无问题地容纳了语言证据。
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CiteScore
1.10
自引率
20.00%
发文量
17
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