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 Ngoa Department of Computer Engineering, Thai Nguyen University of Information and Communication Technology, Thai Nguyen, VietnamCorrespondence[email protected]

https://orcid.org/0000-0001-8764-6688 View further author information

Phuong-Thai Nguyenb Institute of Artificial Intelligence, University of Engineering and Technology, Vietnam National University, Hanoi, VietnamView further author information

Van Vinh Nguyenc Department of Computer Science, The Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi, VietnamView further author information

Thanh-Le Had Institute of Anthropomatics and Robotics, Faculty of Informatics, Karlsruhe Institute of Technology, Karlsruhe, GermanyView further author information

Le-Minh Nguyene School of Information Science, Japan Advanced Institute of Science and Technology, JapanView further author information

An Efficient Method for Generating Synthetic Data for Low-Resource Machine Translation

An empirical study of Chinese, Japanese to Vietnamese Neural Machine Translation

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An Efficient Method for Generating Synthetic Data for Low-Resource Machine Translation

An empirical study of Chinese, Japanese to Vietnamese Neural Machine Translation

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