| Sockeye: A toolkit for neural machine translation F Hieber, T Domhan, M Denkowski, D Vilar, A Sokolov, A Clifton, M Post arXiv preprint arXiv:1712.05690, 2017 | 233 | 2017 |
| Защита от компьютерного терроризма АВ Соколов, ОМ Степанюк Справочное пособие. СПб.: БХВ-Петербург Арлит, 2002 | 123 | 2002 |
| Quality at a glance: An audit of web-crawled multilingual datasets J Kreutzer, I Caswell, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ... Transactions of the Association for Computational Linguistics 10, 50-72, 2022 | 88 | 2022 |
| A full-text learning to rank dataset for medical information retrieval V Boteva, D Gholipour, A Sokolov, S Riezler Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 79 | 2016 |
| Nisansa de Silva J Kreutzer, I Caswell, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ... Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur …, 2022 | 78 | 2022 |
| The sockeye neural machine translation toolkit at AMTA 2018 F Hieber, T Domhan, M Denkowski, D Vilar, A Sokolov, A Clifton, M Post Proceedings of the 13th Conference of the Association for Machine …, 2018 | 69 | 2018 |
| Scaling up influence functions A Schioppa, P Zablotskaia, D Vilar, A Sokolov Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8179-8186, 2022 | 58 | 2022 |
| Limsi@ wmt13 A Allauzen, N Pécheux, QK Do, M Dinarelli, T Lavergne, A Max, HS Le, ... Proceedings of the Eighth Workshop on Statistical Machine Translation, 62-69, 2013 | 46 | 2013 |
| Bandit structured prediction for neural sequence-to-sequence learning J Kreutzer, A Sokolov, S Riezler arXiv preprint arXiv:1704.06497, 2017 | 44 | 2017 |
| Learning to segment inputs for NMT favors character-level processing J Kreutzer, A Sokolov arXiv preprint arXiv:1810.01480, 2018 | 39 | 2018 |
| Learning structured predictors from bandit feedback for interactive NLP A Sokolov, J Kreutzer, C Lo, S Riezler Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 38 | 2016 |
| Learning translational and knowledge-based similarities from relevance rankings for cross-language retrieval S Schamoni, F Hieber, A Sokolov, S Riezler Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 36 | 2014 |
| Stochastic structured prediction under bandit feedback A Sokolov, J Kreutzer, S Riezler, C Lo Advances in neural information processing systems 29, 2016 | 33 | 2016 |
| Quality at a glance: An audit of web-crawled multilingual datasets I Caswell, J Kreutzer, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ... arXiv e-prints, arXiv: 2103.12028, 2021 | 32 | 2021 |
| Neural distributed representation for intelligent information technologies and modeling of thinking VI Gritsenko, DA Rachkovskij, AD Goltsev, VV Lukovych, IS Misuno, ... Cybernetics and Computer Engineering 173, 7-24, 2013 | 30 | 2013 |
| Counterfactual learning from bandit feedback under deterministic logging: A case study in statistical machine translation C Lawrence, A Sokolov, S Riezler arXiv preprint arXiv:1707.09118, 2017 | 28 | 2017 |
| Searching for text information with the help of vector representations IS Misuno, DA Rachkovskij, SV Slipchenko, AM Sokolov Problems of Programming 4, 50-59, 2005 | 27 | 2005 |
| Limsi@ wmt12 HS Le, T Lavergne, A Allauzen, M Apidianaki, L Gong, A Max, A Sokolov, ... Proceedings of the Seventh Workshop on Statistical Machine Translation, 330-337, 2012 | 25 | 2012 |
| Vector representations for efficient comparison and search for similar strings AM Sokolov Cybernetics and Systems Analysis 43, 484-498, 2007 | 25 | 2007 |
| Computing lattice BLEU oracle scores for machine translation A Sokolov, G Wisniewski, F Yvon 13th Conference of the European Chapter of the Association for computational …, 2012 | 24 | 2012 |
