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Lost in translation - How Africa is trying to close the AI language gap
A new dataset with African languages should improve access to AI for millions on the continent.
The languages recorded included Kikuyu and Dholuo in Kenya, Hausa and Yoruba in Nigeria and isiZulu and Tshivenda in South Africa, some of which are spoken by millions of people. His Kenyan counterpart, computational linguist Lilian Wanzare, says recording the speech on the continent meant creating data aimed at reflecting how people really live and speak. She only began three years ago, with a cabbage crop, and to help she uses an app called AI-Farmer, which recognises several South African languages, including Sesotho, isiZulu and Afrikaans, to help solve various problems.
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