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

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.Peer reviewe

English in product advertisements in non-english speaking countries in western europe: Product image and comprehension of the text

Although English has been shown to be the most frequently used foreign language in product advertisements in countries where it is not the native language, little is known about its effects. This article examines the response to advertisements in English compared to the response to the same ad in the local language in Western Europe on members of the target group for which the ad was intended: 715 young, highly educated female consumers. The use of English in a product ad does not appear to have any impact on image and price of the product, but it does affect text comprehension: the meaning of almost 40% of the English phrases was not understood. These results were the same for all countries involved in the study, irrespective of whether the respondents\u27 (self-) reported proficiency in English is high or low. © Taylor & Francis Group, LLC

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

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