{"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/a-systematic-review-of-automated-grammar","title":"A Systematic Review of Automated Grammar Checking in English Language","arxiv_id":"1804.00540","date":"2018-03-29","proceeding":null,"authors":["Madhvi Soni","Jitendra Singh Thakur"],"abstract":"Grammar checking is the task of detection and correction of grammatical\nerrors in the text. English is the dominating language in the field of science\nand technology. Therefore, the non-native English speakers must be able to use\ncorrect English grammar while reading, writing or speaking. This generates the\nneed of automatic grammar checking tools. So far many approaches have been\nproposed and implemented. But less efforts have been made in surveying the\nliterature in the past decade. The objective of this systematic review is to\nexamine the existing literature, highlighting the current issues and suggesting\nthe potential directions of future research. This systematic review is a result\nof analysis of 12 primary studies obtained after designing a search strategy\nfor selecting papers found on the web. We also present a possible scheme for\nthe classification of grammar errors. Among the main observations, we found\nthat there is a lack of efficient and robust grammar checking tools for real\ntime applications. We present several useful illustrations- most prominent are\nthe schematic diagrams that we provide for each approach and a table that\nsummarizes these approaches along different dimensions such as target error\ntypes, linguistic dataset used, strengths and limitations of the approach. This\nfacilitates better understandability, comparison and evaluation of previous\nresearch.","url_abs":"http://arxiv.org/abs/1804.00540v1","url_pdf":"http://arxiv.org/pdf/1804.00540v1.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":"a-systematic-review-of-automated-grammar","repo_url":"https://github.com/zhijing-jin/GEC_papers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}