语域(社会语言学)
突出
变化(天文学)
捷克的
语言学
计算机科学
社会语言学
语料库语言学
自然语言处理
三角测量
代理(统计)
样品(材料)
语料库
类型学
人工智能
地理
地图学
哲学
机器学习
物理
化学
天体物理学
色谱法
作者
Václav Cvrček,Zuzana Laubeová,David Lukeš,Petra Poukarová,Anna Řehořková,Adrian Jan Zasina
标识
DOI:10.1075/ijcl.19020.cvr
摘要
Abstract This paper investigates the contribution of author/idiolect vs. register/type-of-text – as the most salient factors influencing the final shape of a text – towards explaining the variation observed in Czech texts. Since it is almost impossible to explore the effect of these factors on authentic data, we used elicited letters collected in a fully crossed experimental design (representative sample of 200 authors × four elicitation scenarios serving as a proxy to register variation). The variation encompassed by the elicited texts is analyzed through the lens of a general-purpose multi-dimensional model of Czech. Using triangulation via three established statistical methods and one devised for the purpose of this study, we find that register matters a great deal, explaining 1.5 times as much variation overall as idiolect. This should be taken into account when designing research in sociolinguistics or variation studies in general.
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