This project will:
- Initiate a fellowship for AI researchers focused on African languages, based on previously funded work on language datasets. This work contributes to a roadmap for better integration of African languages on digital platforms in aid of lowering the barrier for African participation in the digital economy,
- Significantly improve the representation of AI research carried out on African languages by creating resources for a variety of NLP tasks and in a variety of African languages that will enable good, data-driven results in AI research,
- Attract a community of native speakers as contributors of language resources and language technology tools to adopt and support Masakhane NLP, a platform for sharing, maintaining and making use of language resources and tools; establishing widely agreed benchmarks for NLP tasks and stimulating competition between methods and systems,
- Be used as a model case to inform evidence-based policy making concerning Artificial Intelligence and will be included in UNESCO’s AI Decision maker’s Essential to inform policy makers.