AfriNLLB: Efficient Translation Models for African Languages
In this work, we present AfriNLLB, a series of lightweight models for efficient translation from and into African languages. AfriNLLB supports 15 language pairs (30 translation directions), including Swahili, Hausa, Yoruba, Amharic, Somali, Zulu, Lingala, Afrikaans, Wolof, and Egyptian Arabic, as well as other African Union official languages such as Arabic (MSA), French, Portuguese, and Spanish. Our training data covers bidirectional translation between English and 13 languages, and between French and two languages (Lingala and Wolof). AfriNLLB models are based on NLLB-200 600M, which we compress using iterative layer pruning and quantization. We fine-tune the pruned models on parallel c...
| Authors | Yasmin Moslem, Aman Kassahun Wassie, Amanuel Gizachew Abebe |
|---|---|
| Primary category | cs.CL |
| Published | 10 February 2026 |
| Last updated at source | 7 August 2026 |
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