2021. Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. In Proceedings of the 2021 Conference on Empirical ...
Nov 7, 2021 · Quality Estimation (QE) (Specia et al., 2020) is the task of predicting the quality of an automatically translated sentence at test time, ...
Sep 17, 2021 · Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. By Shuo Sun and others. Sentence-level ...
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. Published in 2021 Conference on Empirical Methods in Natural ...
Sep 17, 2021 · Classification-based Quality Estimation: Small and Efficient Models for. Real-world Applications. Shuo Sun,1 Ahmed El-Kishky,2 Vishrav ...
Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the ...
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ... Sentence-level Quality estimation (QE) of machine translation ...
Jun 6, 2024 · We propose a novel data-driven approach to estimate it for any classifier and show that our estimator is unbiased and low-variance with ...
... Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications | Sentence-level Quality estimation (QE) of machine ...
Findings of the WMT 2018 Shared Task on Quality Estimation
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... models. ... Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications. Conference Paper. Full-text available. Jan 2021.