@InProceedings{eskander-EtAl:2016:COLING,
  author    = {Eskander, Ramy  and  Habash, Nizar  and  Rambow, Owen  and  Pasha, Arfath},
  title     = {Creating Resources for Dialectal Arabic from a Single Annotation: A Case Study on Egyptian and Levantine},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {3455--3465},
  abstract  = {Arabic dialects present a special problem for natural language processing
	because there are few resources, they have no standard orthography, and
	have not been studied much.  However, as more and more written dialectal
	Arabic is found in social media, NLP for Arabic dialects becomes an
	important goal.  We present a methodology for creating a morphological
	analyzer and a morphological tagger for dialectal Arabic, and we illustrate
	it on Egyptian and Levantine Arabic.  To our knowledge, these are the first
	analyzer and tagger for Levantine.},
  url       = {http://aclweb.org/anthology/C16-1326}
}