Linguistic repercussions of COVID-19: A corpus study on four languages

Pub Date : 2022-01-01 DOI:10.1515/opli-2022-0222

E. Cartier, A. Onysko, Esme Winter-Froemel, E. Zenner, Gisle Andersen, Béryl Hilberink-Schulpen, U. Nederstigt, Elizabeth Peterson, Frank van Meurs

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Abstract

Abstract The global reach of the COVID-19 pandemic and the ensuing localized policy reactions provides a case to uncover how a global crisis translates into linguistic discourse. Based on the JSI Timestamped Web Corpora that are automatically POS-tagged and accessible via SketchEngine, this study compares French, German, Dutch, and English. After identifying the main names used to denote the virus and its disease, we extracted a total of 1,697 associated terms (according to logDice values) retrieved from news media data from January through October 2020. These associated words were then organized into categories describing the properties of the virus and the disease, their spatio-temporal features and their cause–effect dependencies. Analyzing the output cross-linguistically and across the first 10 months of the pandemic, a fairly stable semantic discourse space is found within and across each of the four languages, with an overall clear preference for visual and biomedical features as associated terms, though significant diatopic and diachronic shifts in the discourse space are also attested.

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新冠肺炎的语言影响：四种语言的语料库研究

摘要新冠肺炎大流行的全球范围和随之而来的本地化政策反应为揭示全球危机如何转化为语言话语提供了一个案例。本研究基于JSI时间戳Web公司，该公司通过SketchEngine自动标记POS并可访问，比较了法语、德语、荷兰语和英语。在确定了用于表示病毒及其疾病的主要名称后，我们从2020年1月至10月的新闻媒体数据中总共提取了1697个相关术语（根据logDice值）。然后将这些相关单词组织成类别，描述病毒和疾病的特性、时空特征及其因果依赖性。从跨语言和疫情前10个月的角度分析输出，在四种语言中的每一种语言中都发现了一个相当稳定的语义话语空间，总体上明显倾向于将视觉和生物医学特征作为相关术语，尽管话语空间中的显着全方位和历时变化也得到了证实。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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