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Bridging the gap between AI and African languages  

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Artificial intelligence systems are now being trained to recognise, process, and respond in African languages.

This is happening through translation tools, voice recognition systems, and digital platforms that rely on real speech and text input from users and language speakers.

We explored what it means for African languages to be part of these systems and what people are noticing, questioning, and responding to as this technology becomes more present in daily life with Xolile Ntshangase, Language and Translation Practice Lecturer at the Tshwane University of Technology.

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