{"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-with","title":"Neural Machine Translation with Reconstruction","arxiv_id":"1611.01874","date":"2016-11-07","proceeding":null,"authors":["Zhaopeng Tu","Yang Liu","Lifeng Shang","Xiaohua Liu","Hang Li"],"abstract":"Although end-to-end Neural Machine Translation (NMT) has achieved remarkable\nprogress in the past two years, it suffers from a major drawback: translations\ngenerated by NMT systems often lack of adequacy. It has been widely observed\nthat NMT tends to repeatedly translate some source words while mistakenly\nignoring other words. To alleviate this problem, we propose a novel\nencoder-decoder-reconstructor framework for NMT. The reconstructor,\nincorporated into the NMT model, manages to reconstruct the input source\nsentence from the hidden layer of the output target sentence, to ensure that\nthe information in the source side is transformed to the target side as much as\npossible. Experiments show that the proposed framework significantly improves\nthe adequacy of NMT output and achieves superior translation result over\nstate-of-the-art NMT and statistical MT systems.","url_abs":"http://arxiv.org/abs/1611.01874v2","url_pdf":"http://arxiv.org/pdf/1611.01874v2.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-with","repo_url":"https://github.com/tuzhaopeng/nmt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"nmt","task_name":"NMT"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1611.01874","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}