A Review on Covid-19 Pandemic and Role of Multilingual Information Retrieval and Machine Translation for Managing its Effect

Abstract

Novel Coronavirus disease 2019 (COVID-19) was initiated in the town of Wuhan, Hubei Province, Central China, and has multiplied speedily to 215 nations to date. Around 178,837,204 confirmed cases and 3880450 deaths had been reported across the globe till 23 June 2021. The exceptional outburst of the 2019 novel coronavirus called COVID-19 around the world has placed numerous governments in a precarious position. Most of the governments found no solution except imposing fractional or full lockdown. The laboratories grew rapidly across the globe to test and confirm the rate of disease spread. The disease had adverse effects on the global economy. This chapter focuses on using technology on languages such as NLP, Multilingual Information Retrieval Systems, and Machine Translation to evaluate the impact of covid-19 outbreaks and manage it.

Keywords: Covid 19 Pandemic, Information Retrieval, Multilingual Information Retrieval, Machine Translation, Natural Language Processing.

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