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Towards Explainable Evaluation Metrics for Natural Language Generation ...
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Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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Continual Quality Estimation with Online Bayesian Meta-Learning ...
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Findings of the WMT 2021 Shared Task on Quality Estimation ...
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Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
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deepQuest-py: large and distilled models for quality estimation
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Findings of the WMT 2021 shared task on quality estimation
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In: 689 ; 730 (2021)
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deepQuest-py: large and distilled models for quality estimation
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021)
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Backtranslation feedback improves user confidence in MT, not quality
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Knowledge distillation for quality estimation
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In: 5091 ; 5099 (2021)
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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Fomicheva, Marina; Sun, Shuo; Fonseca, Erick; Zerva, Chrysoula; Blain, Frédéric; Chaudhary, Vishrav; Guzmán, Francisco; Lopatina, Nina; Specia, Lucia; Martins, André F. T.. - : arXiv, 2020
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Abstract:
We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains eleven language pairs, with human labels for up to 10,000 translations per language pair in the following formats: sentence-level direct assessments and post-editing effort, and word-level good/bad labels. It also contains the post-edited sentences, as well as titles of the articles where the sentences were extracted from, and the neural MT models used to translate the text. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2010.04480 https://dx.doi.org/10.48550/arxiv.2010.04480
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Unsupervised quality estimation for neural machine translation
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In: 8 ; 539 ; 555 (2020)
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An exploratory study on multilingual quality estimation
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In: 366 ; 377 (2020)
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BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
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In: 1010 ; 1017 (2020)
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Findings of the WMT 2020 shared task on quality estimation
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In: 743 ; 764 (2020)
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MLQE-PE: A multilingual quality estimation and post-editing dataset
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