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

Marina Fomicheva
Marina Fomicheva
Shuo Sun
Shuo Sun
Erick Fonseca
Erick Fonseca
Francisco Guzmán
Francisco Guzmán
Nina Lopatina
Nina Lopatina
Cited by: 0|Bibtex|Views15
Other Links: arxiv.org

Abstract:

We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE). The dataset contains seven language pairs, with human labels for 9,000 translations per language pair in the following formats: sentence-level direct assessments and post-editing effort, and word-level good/bad labels...More

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