material ID: mlqepe

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Findings of the WMT 2022 Shared Task on Quality Estimation

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Publication: TIPSTER (2022)

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AbstractWe report the results of the WMT 2022 shared task on Quality Estimation, in which the challenge is to predict the quality of the output of neural machine translation systems …...

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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

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AbstractWe present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains annotations for eleven language pairs, including both high- and low-resource …...

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