{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mlqe-pe-a-multilingual-quality-estimation-and","title":"MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset","arxiv_id":"2010.04480","date":"2020-10-09","proceeding":"LREC 2022 6","authors":["Marina Fomicheva","Shuo Sun","Erick Fonseca","Chrysoula Zerva","Frédéric Blain","Vishrav Chaudhary","Francisco Guzmán","Nina Lopatina","Lucia Specia","André F. T. Martins"],"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.","url_abs":"https://arxiv.org/abs/2010.04480v3","url_pdf":"https://arxiv.org/pdf/2010.04480v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mlqe-pe-a-multilingual-quality-estimation-and","repo_url":"https://github.com/sheffieldnlp/mlqe-pe","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"automatic-post-editing","task_name":"Automatic Post-Editing"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[{"slug":"mlqe-pe","name":"MLQE-PE","full_name":"Multilingual Quality Estimation and Automatic Post-editing Dataset"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2010.04480","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}