Marian: Fast neural machine translation in C++ M Junczys-Dowmunt, R Grundkiewicz, T Dwojak, H Hoang, K Heafield, ... arXiv preprint arXiv:1804.00344, 2018 | 770 | 2018 |
In neural machine translation, what does transfer learning transfer? AF Aji, N Bogoychev, K Heafield, R Sennrich Association for Computational Linguistics, 2020 | 76 | 2020 |
The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 75 | 2024 |
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 | 61 | 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 | 41 | 2014 |
Domain, translationese and noise in synthetic data for neural machine translation N Bogoychev, R Sennrich arXiv preprint arXiv:1911.03362, 2019 | 40 | 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 | 30 | 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 | 26 | 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 | 24 | 2020 |
Accelerating asynchronous stochastic gradient descent for neural machine translation N Bogoychev, M Junczys-Dowmunt, K Heafield, AF Aji arXiv preprint arXiv:1808.08859, 2018 | 23 | 2018 |
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 | 22 | 2023 |
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 | 21 | 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 | 20 | 2020 |
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 | 17 | 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 | 17 | 2019 |
An open dataset and model for language identification L Burchell, A Birch, N Bogoychev, K Heafield arXiv preprint arXiv:2305.13820, 2023 | 15 | 2023 |
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 | 14 | 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 | 14 | 2021 |
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 | 10 | 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 | 8 | 2022 |