{"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/experiments-with-universal-cefr","title":"Experiments with Universal CEFR Classification","arxiv_id":"1804.06636","date":"2018-04-18","proceeding":"WS 2018 6","authors":["Sowmya Vajjala","Taraka Rama"],"abstract":"The Common European Framework of Reference (CEFR) guidelines describe\nlanguage proficiency of learners on a scale of 6 levels. While the description\nof CEFR guidelines is generic across languages, the development of automated\nproficiency classification systems for different languages follow different\napproaches. In this paper, we explore universal CEFR classification using\ndomain-specific and domain-agnostic, theory-guided as well as data-driven\nfeatures. We report the results of our preliminary experiments in monolingual,\ncross-lingual, and multilingual classification with three languages: German,\nCzech, and Italian. Our results show that both monolingual and multilingual\nmodels achieve similar performance, and cross-lingual classification yields\nlower, but comparable results to monolingual classification.","url_abs":"http://arxiv.org/abs/1804.06636v1","url_pdf":"http://arxiv.org/pdf/1804.06636v1.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":"experiments-with-universal-cefr","repo_url":"https://github.com/nishkalavallabhi/UniversalCEFRScoring","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.06636","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}