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AfriSwitch is a new 61.36-hour benchmark dataset of human-transcribed, real-world code-switched speech across 16 African languages. It reveals that current AI speech recognition…
This study evaluates deep learning object detection models using AgriAISeg, a real-world multi-plant dataset manually collected from Nigerian farms. The research aims to improve…
A new multilingual corpus named BOUTEF has been developed to specifically study fake news in North Africa, focusing on Algeria and Tunisia. This dataset is crucial for advancing…
The AfriSUD project introduces the first large-scale collection of syntactically annotated treebanks specifically for nine diverse African languages, aiming to bridge a…
