Mburisano Covid-19 multilingual corpus

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Authors: Laurette Marais, Calteaux, Karen, van Niekerk, Nina, Wilken, Ilana
Cited by: 1

Abstract

This corpus was created to aid development of the AwezaMed Covid-19 speech-to-speech mobile application. The project within which it was created, Mburisano, was funded by the Department of Sport, Arts and Culture (DSAC). A selection of English sentences was generated in consultation with medical domain experts, and these sentences were manually translated into all official South African languages. The sentences formed the basis of the rapid development of Grammatical Framework (GF) application grammars for all the languages, to aid spoken communication about Covid-19 with a particular focus on screening and triage. The corpus is presented as a limited domain, manually translated parallel corpus in all 11 official South African languages. The AwezaMed Covid-19 application can be found at: https://play.google.com/store/apps/details?id=za.co.aweza.covid19&gl=ZA.The dataset (corpus) is not housed in this repository and can be accessed and downloaded via the SADiLaR Language Resource Repository: https://hdl.handle.net/20.500.12185/536.

Fields of Study & Subjects

Hate Speech and Cyberbullying Detection

Publication details

Journal / source
Council for Scientific and Industrial Research (CSIR)
Publication date
23 March 2026
Language
EN
Document type
Dataset