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What is Unlocking Zero-Shot Translation Efficiency about?

This paper explores the effectiveness of fine-tuning English-centric models for zero-shot translation using minimal multi-parallel data, demonstrating significant improvements in translation quality with as few as 100 samples. The authors achieve up to +21.7 ChrF++ improvements across 870 language directions, surpassing existing models like M2M100 by 5.9 ChrF++. The findings suggest that small, readily available datasets can efficiently enhance zero-shot translation capabilities, challenging previous assump

Author

c.monz

Language

EN