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    <abstract>We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for developing and evaluating grammatical error correction (GEC). Unlike other corpora, it represents a broad range of language proficiency levels and uses holistic fluency edits to not only correct grammatical errors but also make the original text more native sounding. We describe the types of corrections made and benchmark four leading GEC systems on this corpus, identifying specific areas in which they do well and how they can improve. JFLEG fulfills the need for a new gold standard to properly assess the current state of GEC.</abstract>
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%0 Conference Proceedings
%T JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction
%A Napoles, Courtney
%A Sakaguchi, Keisuke
%A Tetreault, Joel
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F napoles-etal-2017-jfleg
%X We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for developing and evaluating grammatical error correction (GEC). Unlike other corpora, it represents a broad range of language proficiency levels and uses holistic fluency edits to not only correct grammatical errors but also make the original text more native sounding. We describe the types of corrections made and benchmark four leading GEC systems on this corpus, identifying specific areas in which they do well and how they can improve. JFLEG fulfills the need for a new gold standard to properly assess the current state of GEC.
%U https://aclanthology.org/E17-2037
%P 229-234

Markdown (Informal)

[JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction](https://aclanthology.org/E17-2037) (Napoles et al., EACL 2017)

• JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction (Napoles et al., EACL 2017)

ACL

• Courtney Napoles, Keisuke Sakaguchi, and Joel Tetreault. 2017. JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 229–234, Valencia, Spain. Association for Computational Linguistics.