@inproceedings{eskander-etal-2016-creating,
    title = "Creating Resources for Dialectal {A}rabic from a Single Annotation: A Case Study on {E}gyptian and {L}evantine",
    author = "Eskander, Ramy  and
      Habash, Nizar  and
      Rambow, Owen  and
      Pasha, Arfath",
    editor = "Matsumoto, Yuji  and
      Prasad, Rashmi",
    booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/C16-1326/",
    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."
}