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1
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ...
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Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ...
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2010.04480
https://dx.doi.org/10.48550/arxiv.2010.04480
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4
Unsupervised quality estimation for neural machine translation
In: 8 ; 539 ; 555 (2020)
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5
An exploratory study on multilingual quality estimation
In: 366 ; 377 (2020)
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6
BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
In: 1010 ; 1017 (2020)
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7
MLQE-PE: A multilingual quality estimation and post-editing dataset
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8
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia ...
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