Quality Estimation Task - EMNLP fifth Conference on Machine Translation

This shared task will build on its previous editions to further examine automatic methods for estimating the quality of neural machine translation output at run-time, without relying on reference translations. As in previous years, we cover estimation at various levels. Important elements introduced this year include: a new task where sentences are annotated with Direct Assessment (DA) scores instead of labels based on post-editing; a new multilingual sentence-level dataset mainly from Wikipedia

1 mentions: @katsuhitosudoh
Date: 2020/03/19 23:20

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@katsuhitosudoh QEがDA予測になっていて彼の先見の明に感銘を受ける Quality Estimation Task - EMNLP fifth Conference on Machine Translation t.co/QZtliAtnVD

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