Wichmann Søren, Holman Eric W
Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany.
Hum Biol. 2009 Apr;81(2-3):259-74. doi: 10.3378/027.081.0308.
Previous empirical studies of population size and language change have produced equivocal results. We therefore address the question with a new set of lexical data from nearly one-half of the world's languages. We first show that relative population sizes of modern languages can be extrapolated to ancestral languages, albeit with diminishing accuracy, up to several thousand years into the past. We then test for an effect of population against the null hypothesis that the ultrametric inequality is satisfied by lexical distances among triples of related languages. The test shows mainly negligible effects of population, the exception being an apparently faster rate of change in the larger of two closely related variants. A possible explanation for the exception may be the influence on emerging standard (or cross-regional) variants from speakers who shift from different dialects to the standard. Our results strongly indicate that the sizes of speaker populations do not in and of themselves determine rates of language change. Comparison of this empirical finding with previously published computer simulations suggests that the most plausible model for language change is one in which changes propagate on a local level in a type of network in which the individuals have different degrees of connectivity.
先前关于人口规模与语言变化的实证研究结果并不明确。因此,我们用来自世界上近一半语言的一组新词汇数据来探讨这个问题。我们首先表明,现代语言的相对人口规模可以外推至几千年前的原始语言,尽管准确性会逐渐降低。然后,我们针对相关语言三元组之间的词汇距离满足超度量不等式这一零假设,检验人口规模的影响。测试结果显示,人口规模的影响大多可忽略不计,唯一的例外是,在两个密切相关的变体中,较大变体的变化速度明显更快。对这一例外情况的一种可能解释是,从不同方言转向标准语的使用者对新兴标准(或跨地区)变体产生了影响。我们的结果有力地表明,说某种语言的人口规模本身并不能决定语言变化的速度。将这一实证发现与之前发表的计算机模拟结果进行比较后发现,语言变化最合理的模型是,变化在一种网络的局部层面上传播,其中个体具有不同程度的连通性。