{"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/low-resource-nmt-an-empirical-study-on-the","title":"Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut","arxiv_id":null,"date":"2020-10-01","proceeding":"AMTA 2020 10","authors":["Tan Ngoc Le","Fatiha Sadat"],"abstract":"","url_abs":"https://aclanthology.org/2020.amta-research.15","url_pdf":"https://aclanthology.org/2020.amta-research.15.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":"low-resource-nmt-an-empirical-study-on-the","repo_url":"https://github.com/ngoctanle/inuktitut-english-nmt","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"low-resource-nmt","task_name":"Low Resource NMT"},{"task_slug":"nmt","task_name":"NMT"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}