Melvin Johnson
Melvin Johnson
Researcher, Google
Verified email at stanford.edu
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
33732016
Google’s multilingual neural machine translation system: Enabling zero-shot translation
M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ...
Transactions of the Association for Computational Linguistics 5, 339-351, 2017
9672017
Leveraging linguistic structure for open domain information extraction
G Angeli, MJJ Premkumar, CD Manning
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
3862015
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
2222018
Massively multilingual neural machine translation
R Aharoni, M Johnson, O Firat
arXiv preprint arXiv:1903.00089, 2019
872019
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
562019
Machine learning in automatic speech recognition: A survey
J Padmanabhan, MJ Johnson Premkumar
IETE Technical Review 32 (4), 240-251, 2015
512015
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
482019
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
472019
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
432019
Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization
J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson
arXiv preprint arXiv:2003.11080, 2020
402020
Stanford’s 2014 slot filling systems
G Angeli, S Gupta, M Jose, CD Manning, C Ré, J Tibshirani, JY Wu, S Wu, ...
TAC KBP 695, 2014
402014
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
392016
Small and practical bert models for sequence labeling
H Tsai, J Riesa, M Johnson, N Arivazhagan, X Li, A Archer
arXiv preprint arXiv:1909.00100, 2019
282019
Bootstrapped Self Training for Knowledge Base Population.
G Angeli, V Zhong, D Chen, AT Chaganty, J Bolton, MJJ Premkumar, ...
TAC, 2015
272015
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
232019
Zero-shot cross-lingual classification using multilingual neural machine translation
A Eriguchi, M Johnson, O Firat, H Kazawa, W Macherey
arXiv preprint arXiv:1809.04686, 2018
222018
Stanford’s distantly supervised slot filling systems for KBP 2014
G Angeli, S Gupta, MJ Premkumar, CD Manning, C Ré, J Tibshirani, ...
Text Analysis Conference (TAC) Proceedings, 2014
152014
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.
A Siddhant, M Johnson, H Tsai, N Ari, J Riesa, A Bapna, O Firat, K Raman
AAAI, 8854-8861, 2020
132020
Adaptive Scheduling for Multi-Task Learning
S Jean, O Firat, M Johnson
arXiv preprint arXiv:1909.06434, 2019
72019
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