Synslator: An Interactive Machine Translation Tool with Online Learning-Reference-Cited by-同舟云学术

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Synslator: An Interactive Machine Translation Tool with Online Learning

Published:2024-05-13 Issue: Volume: Page:1023-1026
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Wang Jiayi¹^ORCID,Wang Ke²^ORCID,Zhou Fengming³^ORCID,Wang Chengyu⁴^ORCID,Fu Zhiyong⁵^ORCID,Feng Zeyu⁵^ORCID,Zhao Yu⁵^ORCID,Zhang Yuqi⁶^ORCID

Affiliation:

1. University College London, London, United Kingdom

2. Alibaba Group, Beijing, China

3. Enjoy Global, Inc., Wilmington, DE, USA

4. Alibaba Cloud, Hangzhou, China

5. Alibaba Group, Hangzhou, China

6. The Institute Of Service-Oriented Manufacturing, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651240

Reference19 articles.

1. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

2. Ankur Bapna and Orhan Firat. 2019. Non-parametric adaptation for neural machine translation. arXiv preprint arXiv:1903.00058 (2019).

3. Lynne Bowker. 2014. Computer-aided translation: Translator training. In Routledge encyclopedia of translation technology. Routledge, 126--142.

4. Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du, and Tong Xu. 2023. Simple and Scalable Nearest Neighbor Machine Translation. arXiv preprint arXiv:2302.12188 (2023).

5. GPT-3: Its Nature, Scope, Limits, and Consequences

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