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Conference and Workshop Papers
- 2024
[c11]Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico:
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. ACL (Findings) 2024: 1763-1775- 2023
- [c10]Steve Sloto, Brian Thompson, Huda Khayrallah, Tobias Domhan, Thamme Gowda, Philipp Koehn:
Findings of the WMT 2023 Shared Task on Parallel Data Curation. WMT 2023: 95-102 - [c9]Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. WMT 2023: 983-995 - 2022
- [c8]Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne
, Felix Hieber:
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. NAACL-HLT 2022: 1861-1874 - 2021
- [c7]Eva Hasler, Tobias Domhan, Jonay Trénous, Ke Tran, Bill Byrne, Felix Hieber:
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation. EMNLP (1) 2021: 8470-8477 - 2020
- [c6]Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield:
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. AMTA 2020: 110-115 - [c5]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar:
Sockeye 2: A Toolkit for Neural Machine Translation. EAMT 2020: 457-458 - 2018
- [c4]Tobias Domhan:
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures. ACL (1) 2018: 1799-1808 - [c3]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
The Sockeye Neural Machine Translation Toolkit at AMTA 2018. AMTA (1) 2018: 200-207 - 2017
- [c2]Tobias Domhan, Felix Hieber:
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning. EMNLP 2017: 1500-1505 - 2015
- [c1]Tobias Domhan, Jost Tobias Springenberg, Frank Hutter:
Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves. IJCAI 2015: 3460-3468
Informal and Other Publications
- 2024
- [i7]Brian Thompson, Mehak Preet Dhaliwal, Peter Frisch, Tobias Domhan, Marcello Federico:
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism. CoRR abs/2401.05749 (2024) - 2023
- [i6]Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler:
Trained MT Metrics Learn to Cope with Machine-translated References. CoRR abs/2312.00536 (2023) - 2022
- [i5]Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber:
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation. CoRR abs/2205.06618 (2022) - [i4]Felix Hieber, Michael J. Denkowski, Tobias Domhan, Barbara Darques Barros, Celina Dong Ye, Xing Niu, Cuong Hoang, Ke Tran, Benjamin Hsu, Maria Nadejde, Surafel Melaku Lakew, Prashant Mathur, Marcello Federico, Anna Currey:
Sockeye 3: Fast Neural Machine Translation with PyTorch. CoRR abs/2207.05851 (2022) - 2020
- [i3]Tobias Domhan, Michael J. Denkowski, David Vilar, Xing Niu, Felix Hieber, Kenneth Heafield:
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020. CoRR abs/2008.04885 (2020) - 2018
- [i2]Loris Bazzani, Tobias Domhan, Felix Hieber:
Image Captioning as Neural Machine Translation Task in SOCKEYE. CoRR abs/1810.04101 (2018) - 2017
- [i1]Felix Hieber, Tobias Domhan, Michael J. Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post:
Sockeye: A Toolkit for Neural Machine Translation. CoRR abs/1712.05690 (2017)
Coauthor Index
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