Nikolay Bogoychev
Nikolay Bogoychev
Research Scientist at Meta
Verified email at - Homepage
Cited by
Cited by
Marian: Fast neural machine translation in C++
M Junczys-Dowmunt, R Grundkiewicz, T Dwojak, H Hoang, K Heafield, ...
arXiv preprint arXiv:1804.00344, 2018
In neural machine translation, what does transfer learning transfer?
AF Aji, N Bogoychev, K Heafield, R Sennrich
Association for Computational Linguistics, 2020
From research to production and back: Ludicrously fast neural machine translation
YJ Kim, M Junczys-Dowmunt, H Hassan, AF Aji, K Heafield, ...
The 3rd Workshop on Neural Generation and Translation: at EMNLP-IJCNLP 2019 …, 2019
Edinburgh SLT and MT System Description for the IWSLT 2014 Evaluation
A Birch, M Huck, N Durrani, N Bogoychev, P Koehn
Proceedings of the 10th International Workshop on Spoken Language …, 2014
Domain, translationese and noise in synthetic data for neural machine translation
N Bogoychev, R Sennrich
arXiv preprint arXiv:1911.03362, 2019
The University of Edinburgh's Submissions to the WMT19 News Translation Task
R Bawden, N Bogoychev, U Germann, R Grundkiewicz, F Kirefu, ...
arXiv preprint arXiv:1907.05854, 2019
The University of Edinburgh’s submissions to the WMT18 news translation task
B Haddow, N Bogoychev, D Emelin, U Germann, R Grundkiewicz, ...
Proceedings of the third conference on machine translation: Shared task …, 2018
Accelerating asynchronous stochastic gradient descent for neural machine translation
N Bogoychev, M Junczys-Dowmunt, K Heafield, AF Aji
arXiv preprint arXiv:1808.08859, 2018
Parallel sentence mining by constrained decoding
P Chen, N Bogoychev, K Heafield, F Kirefu
2020 Annual Conference of the Association for Computational Linguistics …, 2020
The edinburgh/jhu phrase-based machine translation systems for wmt 2015
B Haddow, M Huck, A Birch, N Bogoychev, P Koehn
Proceedings of the Tenth Workshop on Statistical Machine Translation, 126-133, 2015
Edinburgh’s submissions to the 2020 machine translation efficiency task
N Bogoychev, R Grundkiewicz, AF Aji, M Behnke, K Heafield, S Kashyap, ...
The 4th Workshop on Neural Generation and Translation, 218-224, 2020
Monolingual or multilingual instruction tuning: Which makes a better alpaca
P Chen, S Ji, N Bogoychev, B Haddow, K Heafield
arXiv preprint arXiv:2309.08958, 2023
The University of Edinburgh’s English-German and English-Hausa submissions to the WMT21 news translation task
P Chen, J Helcl, U Germann, L Burchell, N Bogoychev, AV Miceli-Barone, ...
Proceedings of the Sixth Conference on Machine Translation, 104-109, 2021
Similar minds post alike: Assessment of suicide risk using a hybrid model
L Chen, A Aldayel, N Bogoychev, T Gong
Proceedings of the sixth workshop on computational linguistics and clinical …, 2019
An open dataset and model for language identification
L Burchell, A Birch, N Bogoychev, K Heafield
arXiv preprint arXiv:2305.13820, 2023
Efficient machine translation with model pruning and quantization
M Behnke, N Bogoychev, AF Aji, K Heafield, G Nail, Q Zhu, S Tchistiakova, ...
EMNLP 2021 Sixth Conference on Machine Translation (WMT), 775-780, 2021
The edinburgh international accents of english corpus: Towards the democratization of english asr
R Sanabria, N Bogoychev, N Markl, A Carmantini, O Klejch, P Bell
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Modern MT: A New Open-Source Machine Translation Platform for the Translation Industry.
U Germann, E Barbu, L Bentivogli, N Bertoldi, N Bogoychev, C Buck, ...
Baltic Journal of Modern Computing 4 (2), 2016
Low-rank softmax can have unargmaxable classes in theory but rarely in practice
A Grivas, N Bogoychev, A Lopez
arXiv preprint arXiv:2203.06462, 2022
Speed-optimized, compact student models that distill knowledge from a larger teacher model: the uedin-cuni submission to the wmt 2020 news translation task
U Germann, R Grundkiewicz, M Popel, R Dobreva, N Bogoychev, ...
Proceedings of the Fifth Conference on Machine Translation, 191-196, 2020
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