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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 29 1 Towards Explainable Evaluation Metrics for Natural Language Generation ... Leiter, Christoph; Lertvittayakumjorn, Piyawat; Fomicheva, Marina. - : arXiv, 2022 BASE Show details 2 Pushing the right buttons: adversarial evaluation of quality estimation Specia, Lucia; Fomicheva, Marina; Ranasinghe, Tharindu... In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022) BASE Show details 3 Translation Error Detection as Rationale Extraction ... Fomicheva, Marina; Specia, Lucia; Aletras, Nikolaos. - : arXiv, 2021 BASE Show details 4 Knowledge Distillation for Quality Estimation ... Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : arXiv, 2021 BASE Show details 5 Continual Quality Estimation with Online Bayesian Meta-Learning ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Fomicheva, Marina; Obamuyide, Abiola. - : Underline Science Inc., 2021 BASE Show details 6 Knowledge Distillation for Quality Estimation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Aletras, Nikolaos; Alva-Manchego, Fernando. - : Underline Science Inc., 2021 BASE Show details 7 Findings of the WMT 2021 Shared Task on Quality Estimation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blain, Frédéric; Chaudhary, Vishrav. - : Underline Science Inc., 2021 BASE Show details 8 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Tharindu; Blain, Frédéric. - : Underline Science Inc., 2021 BASE Show details 9 Knowledge distillation for quality estimation Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021 BASE Show details 10 deepQuest-py: large and distilled models for quality estimation Alva-Manchego, Fernando; Obamuyide, Abiola; Gajbhiye, Amit. - : Association for Computational Linguistics, 2021 BASE Show details 11 Findings of the WMT 2021 shared task on quality estimation Specia, Lucia; Chaudhary, Vishrav; Martins, André... In: 689 ; 730 (2021) BASE Show details 12 deepQuest-py: large and distilled models for quality estimation Gajbhiye, Amit; Specia, Lucia; Obamuyide, Abiola... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021) BASE Show details 13 Backtranslation feedback improves user confidence in MT, not quality Obregón, Mateo; Fomicheva, Marina; Novák, Michal. - : Association for Computational Linguistics, 2021 BASE Show details 14 Knowledge distillation for quality estimation Specia, Lucia; Aletras, Nikolaos; Gajbhiye, Amit... In: 5091 ; 5099 (2021) BASE Show details 15 MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ... Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details 16 Unsupervised quality estimation for neural machine translation Fomicheva, Marina; Guzmán, Francisco; Chaudhary, Vishrav... In: 8 ; 539 ; 555 (2020) BASE Show details 17 An exploratory study on multilingual quality estimation Renduchintala, Adithya; Fomicheva, Marina; Blain, Frederic; Guzman, Francisco; Chaudhary, Vishrav; Sun, Shuo; Specia, Lucia; El-Kishky, Ahmed In: 366 ; 377 (2020) Abstract: This is an accepted manuscript of an article published by ACL, available online at: https://www.aclweb.org/anthology/2020.aacl-main.39 The accepted version of the publication may differ from the final published version. ; Predicting the quality of machine translation has traditionally been addressed with language-specific models, under the assumption that the quality label distribution or linguistic features exhibit traits that are not shared across languages. An obvious disadvantage of this approach is the need for labelled data for each given language pair. We challenge this assumption by exploring different approaches to multilingual Quality Estimation (QE), including using scores from translation models. We show that these outperform singlelanguage models, particularly in less balanced quality label distributions and low-resource settings. In the extreme case of zero-shot QE, we show that it is possible to accurately predict quality for any given new language from models trained on other languages. Our findings indicate that state-of-the-art neural QE models based on powerful pre-trained representations generalise well across languages, making them more applicable in real-world settings. Keyword: machine translation; multilingual; multitask learning; quality estimation; zero-shot learning URL: http://hdl.handle.net/2436/623698 BASE Hide details 18 BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task Guzmán, Francisco; Fomicheva, Marina; Blain, Frédéric... In: 1010 ; 1017 (2020) BASE Show details 19 Findings of the WMT 2020 shared task on quality estimation Fomicheva, Marina; Fonseca, Erick; Guzmán, Francisco... In: 743 ; 764 (2020) BASE Show details 20 MLQE-PE: A multilingual quality estimation and post-editing dataset Fomicheva, Marina; Sun, Shuo; Fonseca, Erick. - : arXiv, 2020 BASE Show details Page: 1 2

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