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Multilingual Quality Estimation and Automatic Post-editing Dataset
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sheffieldnlp/mlqe-pe
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Multilingual Quality Estimation and Automatic Post-editing Dataset.This is an updated version of theMLQE dataset to includepost-editing data, as well Ru-En data. Please refer to the MLQE repo for the NMT models that generated the data.The multilingual NMT models used to generate translations for the zero-shot language pairs can be found here:mBART50 (many-to-one for Ps-En and Km-En,and one-to-many for En-Cs and En-Ja).
If you use this data in your work, please cite:
@article{fomicheva2020mlqepe,title={{MLQE-PE}: A Multilingual Quality Estimation and Post-Editing Dataset},author={Marina Fomicheva and Shuo Sun and Erick Fonseca and Fr\'ed\'eric Blain and Vishrav Chaudhary and Francisco Guzm\'an and Nina Lopatina and Lucia Specia and Andr\'e F.~T.~Martins},year={2020},journal={arXiv preprint arXiv:2010.04480}}
@article{tacl2020,title ={Unsupervised Quality Estimation for Neural Machine Translation},author ={Fomicheva, Marina and Sun, Shuo and Yankovskaya, Lisa and Blain, Frédéric and Guzmán, Francisco and Fishel, Mark and Aletras, Nikolaos and Chaudhary, Vishrav and Specia, Lucia},journal ={Transactions of the Association for Computational Linguistics},volume ={8},pages ={539-555},year ={2020}}
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