Nikolay Bogoychev
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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, HH Awadalla, AF Aji, K Heafield, ...
Proceedings of the 3rd Workshop on Neural Generation and Translation, 280-288, 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 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
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 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
Accelerating asynchronous stochastic gradient descent for neural machine translation
N Bogoychev, M Junczys-Dowmunt, K Heafield, AF Aji
arXiv preprint arXiv:1808.08859, 2018
Edinburgh’s submissions to the 2020 machine translation efficiency task
N Bogoychev, R Grundkiewicz, AF Aji, M Behnke, K Heafield, S Kashyap, ...
Proceedings of the Fourth Workshop on Neural Generation and Translation, 218-224, 2020
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
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
Efficient machine translation with model pruning and quantization
M Behnke, N Bogoychev, AF Aji, K Heafield, G Nail, Q Zhu, S Tchistiakova, ...
Proceedings of the sixth conference on machine translation, 775-780, 2021
Parallel sentence mining by constrained decoding
P Chen, N Bogoychev, K Heafield, F Kirefu
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
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
Fast, scalable phrase-based smt decoding
H Hoang, N Bogoychev, L Schwartz, M Junczys-Dowmunt
arXiv preprint arXiv:1610.04265, 2016
N-gram language models for massively parallel devices
N Bogoychev, A Lopez
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
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), 397-397, 2016
Not all parameters are born equal: Attention is mostly what you need
N Bogoychev
arXiv preprint arXiv:2010.11859, 2020
Character mapping and ad-hoc adaptation: Edinburgh’s IWSLT 2020 open domain translation system
P Chen, N Bogoychev, U Germann
Proceedings of the 17th International Conference on Spoken Language …, 2020
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