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This study reveals that simply increasing data volume does not guarantee improved AI performance for African languages, highlighting the need for language-sensitive dataset…
A new study investigates prompting strategies for Natural Language Inference (NLI) in low-resource African languages like Swahili, Yoruba, and Hausa. The research highlights that…
Dr. Shamsuddeen will discuss how large language models (LLMs) misrepresent African languages and cultural contexts, despite two decades of progress in AfricaNLP. He will highlight…
This research evaluates leading large language models for machine translation between English and two West African languages, Hausa and Fongbe. It highlights significant…
A new study reveals a substantial "African Language Tax" in large language models, where African languages incur significantly higher costs and latency due to inefficient…
A new AI-powered parallel corpus, AfriScience-MT, has been developed to enable scientific communication in six African languages, directly addressing the dominance of colonial…
The AfriSUD project introduces the first large-scale collection of syntactically annotated treebanks specifically for nine diverse African languages, aiming to bridge a…
Microsoft and LINGUA Africa have launched an open call for projects focused on developing inclusive AI language technologies for the continent. This initiative aims to address the…
