{"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/single-model-encoder-decoder-with-explicit","title":"Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection","arxiv_id":"1606.00589","date":"2016-06-02","proceeding":"ACL 2016 8","authors":["Katharina Kann","Hinrich Schütze"],"abstract":"Morphological reinflection is the task of generating a target form given a\nsource form, a source tag and a target tag. We propose a new way of modeling\nthis task with neural encoder-decoder models. Our approach reduces the amount\nof required training data for this architecture and achieves state-of-the-art\nresults, making encoder-decoder models applicable to morphological reinflection\neven for low-resource languages. We further present a new automatic correction\nmethod for the outputs based on edit trees.","url_abs":"http://arxiv.org/abs/1606.00589v1","url_pdf":"http://arxiv.org/pdf/1606.00589v1.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":"single-model-encoder-decoder-with-explicit","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":"form","task_name":"Form"},{"task_slug":"tag","task_name":"TAG"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.00589","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}