{"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/towards-neural-machine-translation-for","title":"Towards Neural Machine Translation for African Languages","arxiv_id":"1811.05467","date":"2018-11-13","proceeding":null,"authors":["Jade Z. Abbott","Laura Martinus"],"abstract":"Given that South African education is in crisis, strategies for improvement\nand sustainability of high-quality, up-to-date education must be explored. In\nthe migration of education online, inclusion of machine translation for\nlow-resourced local languages becomes necessary. This paper aims to spur the\nuse of current neural machine translation (NMT) techniques for low-resourced\nlocal languages. The paper demonstrates state-of-the-art performance on\nEnglish-to-Setswana translation using the Autshumato dataset. The use of the\nTransformer architecture beat previous techniques by 5.33 BLEU points. This\ndemonstrates the promise of using current NMT techniques for African languages.","url_abs":"http://arxiv.org/abs/1811.05467v1","url_pdf":"http://arxiv.org/pdf/1811.05467v1.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":"towards-neural-machine-translation-for","repo_url":"https://github.com/LauraMartinus/ukuxhumana","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"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":{"syntology_url":"https://syntology.ai/paper/1811.05467","atlas_url":"https://app.syntology.ai/?focus=1811.05467","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}