A multi-task mT5 model that predicts named entities, translates them, and translates the full sentence outperforms mT5 and mBART baselines in BLEU on three of four SemEval 2025 Task 2 language pairs.
In: Proceedings of the 22nd annual conference of the european association for machine translation
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Enhancing Entity Aware Machine Translation with Multi-task Learning
A multi-task mT5 model that predicts named entities, translates them, and translates the full sentence outperforms mT5 and mBART baselines in BLEU on three of four SemEval 2025 Task 2 language pairs.