Improving Multilingual Neural Machine Translation with Artificial Labels-Reference-Cited by-同舟云学术

Improving Multilingual Neural Machine Translation with Artificial Labels

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
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Author:

Thi-Vinh Ngo¹^ORCID,Van-Tan Bui²^ORCID,Phuong-Thai Nguyen³^ORCID,Le-Minh Nguyen⁴^ORCID

Affiliation:

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

2. Department of Information Systems, University of Economics - Technology for Industries, Viet Nam

3. Institute of Artificial Intelligence, University of Engineering and Technology, Vietnam National University, Viet Nam

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

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628964

Reference18 articles.

1. Massively Multilingual Neural Machine Translation

2. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http://arxiv.org/abs/1409 .0473 Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http://arxiv.org/abs/1409.0473

3. Marjan Ghazvininejad Hila Gonen and Luke Zettlemoyer. 2023. Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation. arxiv:2302.07856 [cs.CL] Marjan Ghazvininejad Hila Gonen and Luke Zettlemoyer. 2023. Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation. arxiv:2302.07856 [cs.CL]

4. Universal Neural Machine Translation for Extremely Low Resource Languages