{"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/on-the-impact-of-various-types-of-noise-on","title":"On the Impact of Various Types of Noise on Neural Machine Translation","arxiv_id":"1805.12282","date":"2018-05-31","proceeding":"WS 2018 7","authors":["Huda Khayrallah","Philipp Koehn"],"abstract":"We examine how various types of noise in the parallel training data impact\nthe quality of neural machine translation systems. We create five types of\nartificial noise and analyze how they degrade performance in neural and\nstatistical machine translation. We find that neural models are generally more\nharmed by noise than statistical models. For one especially egregious type of\nnoise they learn to just copy the input sentence.","url_abs":"http://arxiv.org/abs/1805.12282v1","url_pdf":"http://arxiv.org/pdf/1805.12282v1.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":"on-the-impact-of-various-types-of-noise-on","repo_url":"https://github.com/danielinux7/Multilingual-Parallel-Corpus","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1805.12282","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}