{"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/bi-directional-differentiable-input","title":"Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation","arxiv_id":"1811.01116","date":"2018-11-02","proceeding":"NAACL 2019 6","authors":["Xing Niu","Weijia Xu","Marine Carpuat"],"abstract":"We aim to better exploit the limited amounts of parallel text available in\nlow-resource settings by introducing a differentiable reconstruction loss for\nneural machine translation (NMT). This loss compares original inputs to\nreconstructed inputs, obtained by back-translating translation hypotheses into\nthe input language. We leverage differentiable sampling and bi-directional NMT\nto train models end-to-end, without introducing additional parameters. This\napproach achieves small but consistent BLEU improvements on four language pairs\nin both translation directions, and outperforms an alternative differentiable\nreconstruction strategy based on hidden states.","url_abs":"http://arxiv.org/abs/1811.01116v2","url_pdf":"http://arxiv.org/pdf/1811.01116v2.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":"bi-directional-differentiable-input","repo_url":"https://github.com/xingniu/sockeye","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mxnet","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"low-resource-neural-machine-translation-2","task_name":"Low Resource Neural Machine Translation"},{"task_slug":"low-resource-neural-machine-translation","task_name":"Low-Resource Neural Machine Translation"},{"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=1811.01116","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}