{"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/artificial-error-generation-with-machine","title":"Artificial Error Generation with Machine Translation and Syntactic Patterns","arxiv_id":"1707.05236","date":"2017-07-17","proceeding":"WS 2017 9","authors":["Marek Rei","Mariano Felice","Zheng Yuan","Ted Briscoe"],"abstract":"Shortage of available training data is holding back progress in the area of\nautomated error detection. This paper investigates two alternative methods for\nartificially generating writing errors, in order to create additional\nresources. We propose treating error generation as a machine translation task,\nwhere grammatically correct text is translated to contain errors. In addition,\nwe explore a system for extracting textual patterns from an annotated corpus,\nwhich can then be used to insert errors into grammatically correct sentences.\nOur experiments show that the inclusion of artificially generated errors\nsignificantly improves error detection accuracy on both FCE and CoNLL 2014\ndatasets.","url_abs":"http://arxiv.org/abs/1707.05236v1","url_pdf":"http://arxiv.org/pdf/1707.05236v1.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":[],"tasks":[{"task_slug":"grammatical-error-detection","task_name":"Grammatical Error Detection"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/grammatical-error-detection-on-conll-2014-a1","task":"Grammatical Error Detection","dataset":"CoNLL-2014 A1","model":"Ann+PAT+MT","rank_in_archive_order":5,"of":8,"metrics":{"F0.5":"21.87"},"uses_additional_data":false},{"leaderboard":"/sota/grammatical-error-detection-on-conll-2014-a2","task":"Grammatical Error Detection","dataset":"CoNLL-2014 A2","model":"Ann+PAT+MT","rank_in_archive_order":4,"of":8,"metrics":{"F0.5":"30.13"},"uses_additional_data":false},{"leaderboard":"/sota/grammatical-error-detection-on-fce","task":"Grammatical Error Detection","dataset":"FCE","model":"Ann+PAT+MT","rank_in_archive_order":3,"of":8,"metrics":{"F0.5":"49.11"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1707.05236","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}