{"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/online-learning-for-neural-machine","title":"Online Learning for Neural Machine Translation Post-editing","arxiv_id":"1706.03196","date":"2017-06-10","proceeding":null,"authors":["Álvaro Peris","Luis Cebrián","Francisco Casacuberta"],"abstract":"Neural machine translation has meant a revolution of the field. Nevertheless,\npost-editing the outputs of the system is mandatory for tasks requiring high\ntranslation quality. Post-editing offers a unique opportunity for improving\nneural machine translation systems, using online learning techniques and\ntreating the post-edited translations as new, fresh training data. We review\nclassical learning methods and propose a new optimization algorithm. We\nthoroughly compare online learning algorithms in a post-editing scenario.\nResults show significant improvements in translation quality and effort\nreduction.","url_abs":"http://arxiv.org/abs/1706.03196v1","url_pdf":"http://arxiv.org/pdf/1706.03196v1.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":"online-learning-for-neural-machine","repo_url":"https://github.com/lvapeab/nmt-keras","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1706.03196","atlas_url":"https://app.syntology.ai/?focus=1706.03196","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}