{"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/jfleg-a-fluency-corpus-and-benchmark-for","title":"JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction","arxiv_id":"1702.04066","date":"2017-02-14","proceeding":"EACL 2017 4","authors":["Courtney Napoles","Keisuke Sakaguchi","Joel Tetreault"],"abstract":"We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for\ndeveloping and evaluating grammatical error correction (GEC). Unlike other\ncorpora, it represents a broad range of language proficiency levels and uses\nholistic fluency edits to not only correct grammatical errors but also make the\noriginal text more native sounding. We describe the types of corrections made\nand benchmark four leading GEC systems on this corpus, identifying specific\nareas in which they do well and how they can improve. JFLEG fulfills the need\nfor a new gold standard to properly assess the current state of GEC.","url_abs":"http://arxiv.org/abs/1702.04066v1","url_pdf":"http://arxiv.org/pdf/1702.04066v1.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":"jfleg-a-fluency-corpus-and-benchmark-for","repo_url":"https://github.com/keisks/jfleg","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"grammatical-error-correction","task_name":"Grammatical Error Correction"}],"methods":[],"datasets_introduced":[{"slug":"jfleg","name":"JFLEG","full_name":"JHU FLuency-Extended GUG corpus"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1702.04066","atlas_url":"https://app.syntology.ai/?focus=1702.04066","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}