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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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Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
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