AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages
Despite their linguistic diversity and global significance, African languages remain underrepresented in research and resources to support NLP. We aim to bridge this gap by introducing AfriSUD, the first large-scale collection of syntactically annotated treebanks for nine diverse African languages spanning major language families and regions across Sub-Saharan Africa. Using the Surface-Syntactic Universal Dependencies (SUD) framework, our community-led effort provides high-quality, native-speaker verified data that capture typological key features such as agglutination and tone. We evaluate a range of models on AfriSUD for part-of-speech tagging and dependency parsing including non-transf...
| Authors | Happy Buzaaba, Cheikh Mouhamadou Bamba Dione, David Ifeoluwa Adelani et al. |
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| Primary category | cs.CL |
| Published | 10 June 2026 |
| Last updated at source | 1 September 2026 |
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