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

Marina Fomicheva; Shuo Sun; Erick Fonseca; Chrysoula Zerva; Frédéric Blain; Vishrav Chaudhary; Francisco Guzmán; Nina Lopatina; Lucia Specia; André F. T. Martins

arXiv · 2010.04480

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

Marina Fomicheva·Shuo Sun·Erick Fonseca·Chrysoula Zerva·Frédéric Blain·Vishrav Chaudhary·Francisco Guzmán·Nina Lopatina·Lucia Specia·André F. T. Martins

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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.

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Marina Fomicheva, Shuo Sun, Erick Fonseca, Chrysoula Zerva, Frédéric Blain, Vishrav Chaudhary, Francisco Guzmán, Nina Lopatina, Lucia Specia, André F. T. Martins. 2020-10-09. MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. https://arxiv.org/abs/2010.04480

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