A mobile phone is all you need. Just enter a sequence of numbers and anyone in Rwanda can access a chatbot in Kinyarwanda, the official language, that provides the latest coronavirus information. How many cases are there? Where can I be tested? What do I need to do when travelling? Having a service like this in a country’s official language is by no means a given. English, French, Spanish and German have been the main languages used by digital voice assistants to date. That excludes millions of people. African and Asian languages have been underrepresented until now in the development of language-based artificial intelligence. And that makes things all the more difficult for women and men who cannot read or write.
In 2020, GIZ worked in Rwanda with the Mozilla Foundation, which belongs to browser developer Mozilla, and with local partners, including the start-up Digital Umuganda, to record and process more than 2,000 hours of content in Kinyarwanda. The datasets are openly available to all developers at no charge. They have been used to create a prototype chatbot, a text-based dialogue system. This development of local AI
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Free access to knowledge for 12 million people
The East African nation of Rwanda is one of the pioneers. ‘Kinyarwanda has become the fastest-growing dataset and second-largest open voice dataset in the world,’ reports Audace Niyonkuru, founder of Digital Umuganda. Umuganda is the name given to the one day in the month on which everyone in Rwanda carries out community work. The start-up has brought this day into the digital age and regularly calls on people to ‘donate’ their language so that others can benefit. The sentences in Kinyarwanda have been recorded by thousands of volunteers. The language is spoken by more than 12 million people, not only in Rwanda itself but also in neighbouring countries.
The GIZ initiative is working with Mozilla and other partner organisations including universities. Gathering the language data is just the start. Openly available AI
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The partnership between GIZ and Mozilla helps to accommodate more African languages on the open language platform Common Voice. African languages still lack enough data to train speech recognition models. In this context, voice technology in native African languages can be leveraged in developing new products and offerings that suit the needs of the consumer, namely different sub-Saharan African communities where currently up to 30 per cent of adults are illiterate.

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