@InProceedings{napoles-sakaguchi-tetreault:2017:EACLshort,
  author    = {Napoles, Courtney  and  Sakaguchi, Keisuke  and  Tetreault, Joel},
  title     = {JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {229--234},
  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.},
  url       = {http://www.aclweb.org/anthology/E17-2037}
}