{"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/semantic-neural-machine-translation-using-amr","title":"Semantic Neural Machine Translation using AMR","arxiv_id":"1902.07282","date":"2019-02-19","proceeding":"TACL 2019 3","authors":["Linfeng Song","Daniel Gildea","Yue Zhang","Zhiguo Wang","Jinsong Su"],"abstract":"It is intuitive that semantic representations can be useful for machine\ntranslation, mainly because they can help in enforcing meaning preservation and\nhandling data sparsity (many sentences correspond to one meaning) of machine\ntranslation models. On the other hand, little work has been done on leveraging\nsemantics for neural machine translation (NMT). In this work, we study the\nusefulness of AMR (short for abstract meaning representation) on NMT.\nExperiments on a standard English-to-German dataset show that incorporating AMR\nas additional knowledge can significantly improve a strong attention-based\nsequence-to-sequence neural translation model.","url_abs":"http://arxiv.org/abs/1902.07282v1","url_pdf":"http://arxiv.org/pdf/1902.07282v1.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":"semantic-neural-machine-translation-using-amr","repo_url":"https://github.com/freesunshine0316/semantic-nmt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"abstract-meaning-representation","task_name":"Abstract Meaning Representation"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"nmt","task_name":"NMT"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.07282","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}