Languages as living and dynamic structured systems were influenced at the very first moments of the COVID-19 pandemic as they became medicalized by the use and practice of various jargons and technical terms. Meanwhile, homebound individuals around the world started to create a COVID-19 pandemic-related lexical-overload of neologisms (Coroneologisms or Corona coinages) in different languages which started to spread across the globe by mass media, and some of them even entered the official databases of the well-known dictionaries and Wikipedia corpora. This study was a scrutinized attempt to explore the English vs. Persian (Farsi) Coroneologisms across various Extensible Markup Language (XML) corpora and a huge body of E-resource discourses (websites, social media, and news channels and forums) based on embedded mixed-method design to provide a comprehensive insight into their types, structures, and meanings. To provide a better understanding of how and why particular Coroneologisms were created in terms of social, cultural, or political contributing factors, they were investigated based on the reflections of a series of sociolinguistic focus-group E-interviews with 184 volunteer English and Persian native speakers. This study might provide implications for sociolinguistics, corpus-based language studies, lexicographers, designers of corpora, etymologists, and discourse analysts in English and Persian.
