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1
Towards Explainable Evaluation Metrics for Natural Language Generation ...
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2
Pushing the right buttons: adversarial evaluation of quality estimation
In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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3
Translation Error Detection as Rationale Extraction ...
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4
Knowledge Distillation for Quality Estimation ...
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5
Continual Quality Estimation with Online Bayesian Meta-Learning ...
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6
Knowledge Distillation for Quality Estimation ...
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7
Findings of the WMT 2021 Shared Task on Quality Estimation ...
Abstract: We report the results of the WMT 2021 shared task on Quality Estimation, where the challenge is to predict the quality of the output of neural machine translation systems at the word and sentence levels. This edition focused on two main novel additions: (i) prediction for unseen languages, i.e. zero-shot settings, and (ii) prediction of sentences with catastrophic errors. In addition, new data was released for a number of languages, especially post-edited data. Participating teams from 19 institutions submitted altogether 1263 systems to different task variants and language pairs. ...
Keyword: Bilingual Lexicon Induction; Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
URL: https://underline.io/lecture/39586-findings-of-the-wmt-2021-shared-task-on-quality-estimation
https://dx.doi.org/10.48448/n1nv-gd47
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8
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
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9
Knowledge distillation for quality estimation
Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021
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10
deepQuest-py: large and distilled models for quality estimation
Alva-Manchego, Fernando; Obamuyide, Abiola; Gajbhiye, Amit. - : Association for Computational Linguistics, 2021
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11
Findings of the WMT 2021 shared task on quality estimation
In: 689 ; 730 (2021)
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12
deepQuest-py: large and distilled models for quality estimation
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021)
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13
Backtranslation feedback improves user confidence in MT, not quality
Obregón, Mateo; Fomicheva, Marina; Novák, Michal. - : Association for Computational Linguistics, 2021
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14
Knowledge distillation for quality estimation
In: 5091 ; 5099 (2021)
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15
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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16
Unsupervised quality estimation for neural machine translation
In: 8 ; 539 ; 555 (2020)
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17
An exploratory study on multilingual quality estimation
In: 366 ; 377 (2020)
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18
BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
In: 1010 ; 1017 (2020)
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19
Findings of the WMT 2020 shared task on quality estimation
In: 743 ; 764 (2020)
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20
MLQE-PE: A multilingual quality estimation and post-editing dataset
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