@InProceedings{zaghouani-EtAl:2016:CL4LC,
  author    = {Zaghouani, Wajdi  and  Hawwari, Abdelati  and  Alqahtani, Sawsan  and  Bouamor, Houda  and  Ghoneim, Mahmoud  and  Diab, Mona  and  Oflazer, Kemal},
  title     = {Using Ambiguity Detection to Streamline Linguistic Annotation},
  booktitle = {Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {127--136},
  abstract  = {Arabic writing is typically underspecified for short vowels and other markups,
	referred to as diacritics. In addition to the lexical ambiguity exhibited in
	most languages, the lack of diacritics in written Arabic adds another layer of
	ambiguity which is an artifact of the orthography. In this paper, we present
	the details of three annotation experimental conditions designed to study the
	impact of  automatic ambiguity detection, on  annotation speed and quality in a
	large scale annotation project.},
  url       = {http://aclweb.org/anthology/W16-4115}
}