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Universals versus historical contingencies in lexical evolution

机译:词汇进化中的普遍性与历史偶然性

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摘要

The frequency with which we use different words changes all the time, and every so often, a new lexical item is invented or another one ceases to be used. Beyond a small sample of lexical items whose properties are well studied, little is known about the dynamics of lexical evolution. How do the lexical inventories of languages, viewed as entire systems, evolve? Is the rate of evolution of the lexicon contingent upon historical factors or is it driven by regularities, perhaps to do with universals of cognition and social interaction? We address these questions using the Google Books N-Gram Corpus as a source of data and relative entropy as a measure of changes in the frequency distributions of words. It turns out that there are both universals and historical contingencies at work. Across several languages, we observe similar rates of change, but only at timescales of at least around five decades. At shorter timescales, the rate of change is highly variable and differs between languages. Major societal transformations as well as catastrophic events such as wars lead to increased change in frequency distributions, whereas stability in society has a dampening effect on lexical evolution.
机译:我们使用不同单词的频率一直在变化,每隔一段时间,就会发明一种新的词汇项目,或者不再使用另一种词汇项目。除了对其属性进行了充分研究的少量词汇项目之外,对于词汇演化的动力学知之甚少。被视为整个系统的语言词汇表如何演变?词典的发展速度是取决于历史因素还是由规律性驱动,也许与认知和社会互动的普遍性有关?我们使用Google图书N-Gram语料库作为数据源,并使用相对熵来衡量单词频率分布的变化来解决这些问题。事实证明,工作既有普遍性,也有历史性的偶然性。在多种语言中,我们观察到相似的变化率,但变化的时间尺度至少为大约五十年。在较短的时间范围内,变化率变化很大,并且在不同语言之间也有所不同。重大的社会变革以及诸如战争之类的灾难性事件导致频率分布的变化增加,而社会的稳定对词汇进化产生抑制作用。

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