Alfa-informatica, University of Groningen, PO Box 716, 9700 AS Groningen, The Netherlands.
Philos Trans R Soc Lond B Biol Sci. 2010 Dec 12;365(1559):3821-8. doi: 10.1098/rstb.2010.0048.
We examine situations in which linguistic changes have probably been propagated via normal contact as opposed to via conquest, recent settlement and large-scale migration. We proceed then from two simplifying assumptions: first, that all linguistic variation is the result of either diffusion or independent innovation, and, second, that we may operationalize social contact as geographical distance. It is clear that both of these assumptions are imperfect, but they allow us to examine diffusion via the distribution of linguistic variation as a function of geographical distance. Several studies in quantitative linguistics have examined this relation, starting with Séguy (Séguy 1971 Rev. Linguist. Romane 35, 335-357), and virtually all report a sublinear growth in aggregate linguistic variation as a function of geographical distance. The literature from dialectology and historical linguistics has mostly traced the diffusion of individual features, however, so that it is sensible to ask what sort of dynamic in the diffusion of individual features is compatible with Séguy's curve. We examine some simulations of diffusion in an effort to shed light on this question.
我们考察了语言变化可能是通过正常接触而不是通过征服、最近的定居和大规模迁移传播的情况。然后,我们从两个简化假设出发:首先,所有的语言变化都是扩散或独立创新的结果;其次,我们可以将社会接触操作化为地理距离。很明显,这两个假设都不完美,但它们允许我们通过语言变异的分布作为地理距离的函数来检验扩散。定量语言学中的几项研究已经开始研究这种关系,最早的是 Séguy(Séguy 1971 Rev. Linguist. Romane 35, 335-357),几乎所有的研究都报告了语言总变异随地理距离呈亚线性增长。来自方言学和历史语言学的文献大多追溯了个别特征的扩散,因此,有必要问一下,个别特征的扩散中的哪种动态与 Séguy 的曲线相兼容。我们考察了一些扩散模拟,以试图阐明这个问题。