An Efficient Method for Generating Synthetic Data for Low-Resource Machine Translation-Reference-Cited by-同舟云学术

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

Published:2022-08-02 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Ngo Thi-Vinh¹^ORCID,Nguyen Phuong-Thai²,Nguyen Van Vinh³,Ha Thanh-Le⁴,Nguyen Le-Minh⁵

Affiliation:

1. Department of Computer Engineering, Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

2. Institute of Artificial Intelligence, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam

3. Department of Computer Science, The Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam

4. Institute of Anthropomatics and Robotics, Faculty of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany

5. School of Information Science, Japan Advanced Institute of Science and Technology, Japan

Funder

the Ministry of Science and Technology of Vietnam

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2101755

Reference38 articles.

1. Massively Multilingual Neural Machine Translation

2. On the use of BERT for Neural Machine Translation

3. Devlin, J., M.W. Chang, K. Lee, and K. Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.

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