Nekoto, WilhelminaMarivate, VukosiMatsila, TshinondiwaFasubaa, TimiKolawole, TajudeenRosman, BenjaminKlein, RichardFoster, GeorgeEsch, Daan van2021-05-182021-05-182020-11-06http://hdl.handle.net/10625/60122The paper demonstrates the feasibility and scalability of participatory research, with a case study on Machine Translation (MT) for African languages. The study implementation will lead to a collection of novel translation datasets, MT benchmarks for over 30 languages, with human evaluations for a third of them, while also enabling participants without formal training to make a unique scientific contribution. Benchmarks, models, data, code, and evaluation results are released at https://github.com/masakhane-io/masakhane-mtapplication/pdfenAI4DARTIFICIAL INTELLIGENCEAFRICAN LANGUAGESDATABASESLANGUAGESLANGUAGE BARRIERTRANSLATIONLOCALIZATIONLINGUISTICSMACHINE AIDED TRANSLATIONCOMPUTER APPLICATIONSSOUTH OF SAHARACase Study