Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
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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Authors:Bentham Science Books