JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

EACL 2017 Courtney NapolesKeisuke SakaguchiJoel Tetreault

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... (read more)

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