Languages emerge and change over time at the population level though interactions between individual speakers. It is, however, hard to directly observe how a single speaker's linguistic innovation precipitates a population-wide change in the language, and many theoretical proposals exist. We introduce a very general mathematical model that encompasses a wide variety of individual-level linguistic behaviours and provides statistical predictions for the population-level changes that result from them. This model allows us to compare the likelihood of empirically-attested changes in definite and indefinite articles in multiple languages under different assumptions on the way in which individuals learn and use language. We find that accounts of language change that appeal primarily to errors in childhood language acquisition are very weakly supported by the historical data, whereas those that allow speakers to change incrementally across the lifespan are more plausible, particularly when combined with social network effects.
翻译:语言通过个别发言者之间的相互作用在人口层面出现并随着时间而变化。然而,很难直接观察单一发言者的语言创新是如何促成整个人口语言变化的,而且存在着许多理论建议。我们引入了一个非常一般性的数学模型,其中包括各种个人语言行为,并提供了因这些行为而导致的人口层面变化的统计预测。这一模型使我们能够比较在个人学习和使用语言的方式的不同假设下对多种语言的确定文章和无限期文章进行经经验验证的修改的可能性。我们发现,历史数据非常薄弱地支持主要针对儿童语言获取错误的语言变化的描述,而那些允许演讲者在整个生命周期中逐步变化的描述则更加可信,特别是如果与社会网络效应相结合的话。