JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

Understand

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.