Author of the publication

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020.

, , , , , and . AMTA, page 110-115. Association for Machine Translation in the Americas, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Sockeye 3: Fast Neural Machine Translation with PyTorch., , , , , , , , , and 4 other author(s). CoRR, (2022)The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation., , , , , and . NAACL-HLT, page 1861-1874. Association for Computational Linguistics, (2022)Sockeye 2: A Toolkit for Neural Machine Translation., , , and . EAMT, page 457-458. European Association for Machine Translation, (2020)Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation., , , , , and . EMNLP (1), page 8470-8477. Association for Computational Linguistics, (2021)Findings of the WMT 2023 Shared Task on Parallel Data Curation., , , , , and . WMT, page 95-102. Association for Computational Linguistics, (2023)A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism., , , , and . CoRR, (2024)Trained MT Metrics Learn to Cope with Machine-translated References., , , , and . WMT, page 983-995. Association for Computational Linguistics, (2023)Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves., , and . IJCAI, page 3460-3468. AAAI Press, (2015)How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures.. ACL (1), page 1799-1808. Association for Computational Linguistics, (2018)The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020., , , , , and . AMTA, page 110-115. Association for Machine Translation in the Americas, (2020)