Extracting Grammatical Error Corrections From Wikipedia Revision History

2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)(2019)

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摘要
This paper describes the process of extracting and filtering Wikipedia revision history as a resource 14 grammatical error correction (GEC). Edits in Wikipedia revision history vary widely, including grammatical error corrections, information supplements, format amendments, and even vandalism. To extract only GEC-related revisions, we use an automated error annotation toolkit, ERRANT(1), and extend it to process large data in parallel efficiently. With error-type analysis, we can then identify GEC-related edits and omit other unrelated edits (i.e., only the correction parts are reserved). The resulting corpus is - to our knowledge - the largest publicly available corpus of parallel possibly erroneous and correct sentences with error type labels.
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关键词
Wikipedia, Grammatical Error Correction, MapReduce
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