This research explores domain adaptation techniques for Kurdish-English machine translation in low-resource settings. The study investigates methods to improve translation quality across different domains by leveraging transfer learning and domain-specific fine-tuning approaches. The work contributes to addressing the challenges of machine translation for under-resourced language pairs.
Bnar, Polla Fattah. ‘Domain Adaptation in Low-Resource Kurdish–English Machine Translation.’ Computational Linguistics, 2024.