Before revision:  Our approach demonstrates strong performance in both zero-shot crosslingual transfer and zero-shot pair-wise translation in a many-to-many multilingual model  , making it an appealing approach for attaining high-quality speech translation with low training cost and improved data efficiency.
After revision:  Our approach demonstrates strong performance in both zero-shot crosslingual transfer and zero-shot pair-wise translation in a many-to-many multilingual model (+5.7 BLEU on average across 18 non-English directions) , making it an appealing approach for attaining high-quality speech translation with low training cost and improved data efficiency.