{"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/gleu-without-tuning","title":"GLEU Without Tuning","arxiv_id":"1605.02592","date":"2016-05-09","proceeding":null,"authors":["Courtney Napoles","Keisuke Sakaguchi","Matt Post","Joel Tetreault"],"abstract":"The GLEU metric was proposed for evaluating grammatical error corrections\nusing n-gram overlap with a set of reference sentences, as opposed to\nprecision/recall of specific annotated errors (Napoles et al., 2015). This\npaper describes improvements made to the GLEU metric that address problems that\narise when using an increasing number of reference sets. Unlike the originally\npresented metric, the modified metric does not require tuning. We recommend\nthat this version be used instead of the original version.","url_abs":"http://arxiv.org/abs/1605.02592v1","url_pdf":"http://arxiv.org/pdf/1605.02592v1.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":"gleu-without-tuning","repo_url":"https://github.com/cnap/gec-ranking","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"gleu-without-tuning","repo_url":"https://github.com/gotutiyan/gec-metrics","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1605.02592","atlas_url":"https://app.syntology.ai/?focus=1605.02592","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}