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Publications in Math-Net.Ru |
Citations |
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2023 |
1. |
A. Yu. Egorova, I. M. Zatsman, V. O. Romanenko, “Machine translation by ChatGPT: Monitoring of outcome reproducibility”, Sistemy i Sredstva Inform., 33:3 (2023), 117–128 |
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2021 |
2. |
V. A. Nuriev, A. Yu. Egorova, “Methods of quality estimation for machine translation: State-of-the-art”, Inform. Primen., 15:2 (2021), 104–111 |
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3. |
A. Yu. Egorova, I. M. Zatsman, V. A. Nuriev, “Expert evaluation of machine translation: Error classification”, Sistemy i Sredstva Inform., 31:3 (2021), 144–157 |
4. |
A. Yu. Egorova, I. M. Zatsman, M. G. Kruzhkov, V. A. Nuriev, “Indicator-based evaluation of machine translation instability”, Sistemy i Sredstva Inform., 31:2 (2021), 139–151 |
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2020 |
5. |
A. Yu. Egorova, I. M. Zatsman, M. G. Kruzhkov, V. A. Nuriev, “Machine translation: Indicator-based evaluation of training progress in neural processing”, Sistemy i Sredstva Inform., 30:4 (2020), 124–137 |
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6. |
A. Yu. Egorova, I. M. Zatsman, M. G. Kruzhkov, V. A. Nuriev, “The technique allowing for temporal estimation of machine translation instability”, Sistemy i Sredstva Inform., 30:3 (2020), 67–80 |
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7. |
A. Yu. Egorova, I. M. Zatsman, V. V. Kosarik, V. A. Nuriev, “Instability of neural machine translation”, Sistemy i Sredstva Inform., 30:2 (2020), 124–135 |
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2019 |
8. |
A. Yu. Egorova, I. M. Zatsman, O. S. Mamonova, “Supracorpora databases in linguistic projects”, Sistemy i Sredstva Inform., 29:3 (2019), 77–91 |
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2017 |
9. |
A. V. Marchenko, E. I. Terukov, A. Yu. Egorova, V. S. Kiselev, P. P. Seregin, “Electron exchange between neutral and ionized impurity iron centers in vitreous arsenic selenide”, Fizika i Tekhnika Poluprovodnikov, 51:4 (2017), 472–476 ; Semiconductors, 51:4 (2017), 449–453 |
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