Mburisano Covid-19 multilingual corpus

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.

Authors

Publication Details

Journal
Council for Scientific and Industrial Research (CSIR)
Published
2026-03-23
DOI
https://doi.org/10.71506/csirza.31833979
Citations
1
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
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article

Mburisano Covid-19 multilingual corpus

Laurette Marais
1 citations
Council for Scientific and Industrial Research (CSIR)
Hate Speech and Cyberbullying Detection
article

Mburisano Covid-19 multilingual corpus

Laurette Marais
article en
1 citations

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.

Council for Scientific and Industrial Research (CSIR)
Quality Education
Hate Speech and Cyberbullying Detection
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Mburisano Covid-19 multilingual corpus — Laurette Marais · Council for Scientific and Industrial Research (CSIR) (2026) | TGRS Research Map | TGRS