Wolfgang Macherey
Wolfgang Macherey
Verified email at google.com
Title
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
50122016
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
3282018
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
1582019
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
1472008
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
1272001
Lattice-based minimum error rate training for statistical machine translation
W Macherey, F Och, I Thayer, J Uszkoreit
1262008
Robust neural machine translation with doubly adversarial inputs
Y Cheng, L Jiang, W Macherey
arXiv preprint arXiv:1906.02443, 2019
1232019
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
1112019
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
1012005
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
S Kumar, W Macherey, C Dyer, F Och
972009
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
892019
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
892019
ukasz Kaiser
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens …, 2016
812016
Adaptation in statistical pattern recognition using tangent vectors
D Keysers, W Macherey, H Ney, J Dahmen
IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2), 269-274, 2004
812004
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
772019
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
762018
Comparison of discriminative training criteria
R Schluter, W Macherey
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998
761998
FIRE in ImageCLEF 2005: Combining content-based image retrieval with textual information retrieval
T Deselaers, T Weyand, D Keysers, W Macherey, H Ney
Workshop of the cross-language evaluation forum for European languages, 652-661, 2005
732005
Improving word alignment with bridge languages
S Kumar, F Och, W Macherey
672007
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
642016
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