@InProceedings{habash-EtAl:2017:EACLshort,
  author    = {Habash, Nizar  and  Zalmout, Nasser  and  Taji, Dima  and  Hoang, Hieu  and  Alzate, Maverick},
  title     = {A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages},
  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     = {235--241},
  abstract  = {We present Arab-Acquis, a large publicly available dataset for evaluating
	machine translation between 22 European languages and Arabic. Arab-Acquis
	consists of over 12,000 sentences from the JRC-Acquis (Acquis Communautaire)
	corpus translated twice by professional translators, once from English and once
	from French, and totaling over 600,000 words.  The corpus follows previous data
	splits in the literature for tuning, development, and testing. We describe the
	corpus and how it was created. We also present the first benchmarking results
	on translating to and from Arabic for 22 European languages.},
  url       = {http://www.aclweb.org/anthology/E17-2038}
}