{"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/neural-machine-translation-and-sequence-to","title":"Neural Machine Translation and Sequence-to-sequence Models: A Tutorial","arxiv_id":"1703.01619","date":"2017-03-05","proceeding":null,"authors":["Graham Neubig"],"abstract":"This tutorial introduces a new and powerful set of techniques variously\ncalled \"neural machine translation\" or \"neural sequence-to-sequence models\".\nThese techniques have been used in a number of tasks regarding the handling of\nhuman language, and can be a powerful tool in the toolbox of anyone who wants\nto model sequential data of some sort. The tutorial assumes that the reader\nknows the basics of math and programming, but does not assume any particular\nexperience with neural networks or natural language processing. It attempts to\nexplain the intuition behind the various methods covered, then delves into them\nwith enough mathematical detail to understand them concretely, and culiminates\nwith a suggestion for an implementation exercise, where readers can test that\nthey understood the content in practice.","url_abs":"http://arxiv.org/abs/1703.01619v1","url_pdf":"http://arxiv.org/pdf/1703.01619v1.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":"neural-machine-translation-and-sequence-to","repo_url":"https://github.com/ScientiaEtVeritas/NeuralMachineTranslation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"neural-machine-translation-and-sequence-to","repo_url":"https://github.com/nier79/Machine-translation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"math","task_name":"Math"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1703.01619","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}