Before revision:  Hence, we extend the meta-learning algorithm, which utilizes knowledge learned from high-resource domains  to boost the performance of low-resource UNMT. Our model surpasses a transfer learning-based approach by up to 2-4 BLEU scores.
After revision:  Hence, we extend the meta-learning algorithm, which utilizes knowledge learned from high-resource domains , to boost the performance of low-resource UNMT. Our model surpasses a transfer learning-based approach by up to 2-4 BLEU scores.