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Wolfgang Macherey
Wolfgang Macherey
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Cited by
Cited by
Year
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
91452016
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
7022024
The best of both worlds: Combining recent advances in neural machine translation
MX Chen, O Firat, A Bapna, M Johnson, W Macherey, G Foster, L Jones, ...
arXiv preprint arXiv:1804.09849, 2018
5402018
Massively multilingual neural machine translation in the wild: Findings and challenges
N Arivazhagan, A Bapna, O Firat, D Lepikhin, M Johnson, M Krikun, ...
arXiv preprint arXiv:1907.05019, 2019
4192019
Experts, errors, and context: A large-scale study of human evaluation for machine translation
M Freitag, G Foster, D Grangier, V Ratnakar, Q Tan, W Macherey
Transactions of the Association for Computational Linguistics 9, 1460-1474, 2021
3482021
Robust neural machine translation with doubly adversarial inputs
Y Cheng, L Jiang, W Macherey
arXiv preprint arXiv:1906.02443, 2019
2822019
Direct speech-to-speech translation with a sequence-to-sequence model
Y Jia, RJ Weiss, F Biadsy, W Macherey, M Johnson, Z Chen, Y Wu
arXiv preprint arXiv:1904.06037, 2019
2452019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
2142019
Monotonic infinite lookback attention for simultaneous machine translation
N Arivazhagan, C Cherry, W Macherey, CC Chiu, S Yavuz, R Pang, W Li, ...
arXiv preprint arXiv:1906.05218, 2019
1992019
Reinforced self-training (rest) for language modeling
C Gulcehre, TL Paine, S Srinivasan, K Konyushkova, L Weerts, A Sharma, ...
arXiv preprint arXiv:2308.08998, 2023
1902023
Leveraging weakly supervised data to improve end-to-end speech-to-text translation
Y Jia, M Johnson, W Macherey, RJ Weiss, Y Cao, CC Chiu, N Ari, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
1802019
Lattice Minimum Bayes-Risk decoding for statistical machine translation
R Tromble, S Kumar, FJ Och, W Macherey
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
1662008
Comparison of discriminative training criteria and optimization methods for speech recognition
R Schlüter, W Macherey, B Müller, H Ney
Speech Communication 34 (3), 287-310, 2001
1332001
Lattice-based minimum error rate training for statistical machine translation
W Macherey, FJ Och, I Thayer, J Uszkoreit
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
1322008
Revisiting character-based neural machine translation with capacity and compression
C Cherry, G Foster, A Bapna, O Firat, W Macherey
arXiv preprint arXiv:1808.09943, 2018
1252018
Advaug: Robust adversarial augmentation for neural machine translation
Y Cheng, L Jiang, W Macherey, J Eisenstein
arXiv preprint arXiv:2006.11834, 2020
1172020
The missing ingredient in zero-shot neural machine translation
N Arivazhagan, A Bapna, O Firat, R Aharoni, M Johnson, W Macherey
arXiv preprint arXiv:1903.07091, 2019
1142019
Investigations on error minimizing training criteria for discriminative training in automatic speech recognition.
W Macherey, L Haferkamp, R Schlüter, H Ney
Interspeech 2005, 2133-2136, 2005
1052005
Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016)
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
1042016
Efficient minimum error rate training and minimum bayes-risk decoding for translation hypergraphs and lattices
S Kumar, W Macherey, C Dyer, FJ Och
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
1022009
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