An Efficient Method for Generating Synthetic Data for Low-Resource Machine Translation: An empirical study of Chinese, Japanese to Vietnamese Neural Machine Translation

Thi-Vinh Ngo, Phuong-Thai Nguyen, Van Vinh Nguyen, Thanh-Le Ha, Le-Minh Nguyen

Abstract: Data sparsity is one of the challenges for low-resource language pairs in Neural Machine Translation (NMT). Previous works have presented different approaches for data augmentation, but they mostly...