Abstract
Language is changing over time, and it is a common phenomenon for all languages. Generally, it is a slow but continuous process. The new words come or adopt in the languages, and some existing words become less frequent use or becoming obsolete in written or verbal communication. The term neologism is implying a newly coined word or expression or a phrase that is entering for common use. But sometimes or some special events like War, New disease, Computer, Internet, etc. make the change rapidly, and the COVID-19 pandemic is one such latest event. Note that the infectious disease caused by a newly discovered coronavirus is termed COVID-19, and it is now the official name of coronavirus disease. It has led to an explosion of neologism in the context of disease and several other social contexts. During this period, many new words were coined in the languages and many of these terminologies are rapidly becoming a part of our daily life. For example, some established terms like “lockdown”, “quarantine”, “isolation”, “pandemic”, etc. increased quickly the use in our daily terminology. From the linguistic point of view, the study of such change or adaptation and its quantization is very much important. This study attempted a corpus-based computational approach to explore the adaptation or creation of new words during the outbreak of COVID-19 in the Bengali language. The main components of this work are the creation of the corpus related to the COVID-19 and an algorithm to find out the neologism. For this study, a news corpus has been used. The corpus is created from the news article related to the COVID-19 from January 2020 to February 2021.
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Senapati, A., Nag, A. (2022). Neologism Related to COVID-19 Pandemic: A Corpus-Based Study for the Bengali Language. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_20
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