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Author

Nur Fikri Khuluq

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Review Open access Jul 2026

A Systematic Review of Transfer Learning and Data Augmentation in Neural Machine Translation of Low-Resource Languages

The findings show that a hybrid combination of TL and DA with a self-supervised objective is the most effective solution for extremely low-resource scenarios, capable of producing the highest translation quality and outperforming baseline models and traditional methods such as Statistical Machine Translation (SMT).

Nur Fikri Khuluq, Muhammad Naufal Muzhaffar, Shofwatul Uyun · 0 citations

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