{"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-with-hard","title":"Morphological Inflection Generation with Hard Monotonic Attention","arxiv_id":"1611.01487","date":"2016-11-04","proceeding":"ACL 2017 7","authors":["Roee Aharoni","Yoav Goldberg"],"abstract":"We present a neural model for morphological inflection generation which\nemploys a hard attention mechanism, inspired by the nearly-monotonic alignment\ncommonly found between the characters in a word and the characters in its\ninflection. We evaluate the model on three previously studied morphological\ninflection generation datasets and show that it provides state of the art\nresults in various setups compared to previous neural and non-neural\napproaches. Finally we present an analysis of the continuous representations\nlearned by both the hard and soft attention \\cite{bahdanauCB14} models for the\ntask, shedding some light on the features such models extract.","url_abs":"http://arxiv.org/abs/1611.01487v3","url_pdf":"http://arxiv.org/pdf/1611.01487v3.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-with-hard","repo_url":"https://github.com/roeeaharoni/morphological-reinflection","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"hard-attention","task_name":"Hard Attention"},{"task_slug":"morphological-inflection","task_name":"Morphological Inflection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}