{"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/morphological-inflection-generation-using","title":"Morphological Inflection Generation Using Character Sequence to Sequence Learning","arxiv_id":"1512.06110","date":"2015-12-18","proceeding":"NAACL 2016 6","authors":["Manaal Faruqui","Yulia Tsvetkov","Graham Neubig","Chris Dyer"],"abstract":"Morphological inflection generation is the task of generating the inflected\nform of a given lemma corresponding to a particular linguistic transformation.\nWe model the problem of inflection generation as a character sequence to\nsequence learning problem and present a variant of the neural encoder-decoder\nmodel for solving it. Our model is language independent and can be trained in\nboth supervised and semi-supervised settings. We evaluate our system on seven\ndatasets of morphologically rich languages and achieve either better or\ncomparable results to existing state-of-the-art models of inflection\ngeneration.","url_abs":"http://arxiv.org/abs/1512.06110v3","url_pdf":"http://arxiv.org/pdf/1512.06110v3.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":"morphological-inflection-generation-using","repo_url":"https://github.com/mfaruqui/morph-trans","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"lemma","task_name":"LEMMA"},{"task_slug":"morphological-inflection","task_name":"Morphological Inflection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1512.06110","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}