@inproceedings{khalifa-etal-2016-yamama,
    title = "{YAMAMA}: Yet Another Multi-Dialect {A}rabic Morphological Analyzer",
    author = "Khalifa, Salam  and
      Zalmout, Nasser  and
      Habash, Nizar",
    editor = "Watanabe, Hideo",
    booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: System Demonstrations",
    month = dec,
    year = "2016",
    address = "Osaka, Japan",
    publisher = "The COLING 2016 Organizing Committee",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/C16-2047/",
    pages = "223--227",
    abstract = "In this paper, we present YAMAMA, a multi-dialect Arabic morphological analyzer and disambiguator. Our system is almost five times faster than the state-of-art MADAMIRA system with a slightly lower quality. In addition to speed, YAMAMA outputs a rich representation which allows for a wider spectrum of use. In this regard, YAMAMA transcends other systems, such as FARASA, which is faster but provides specific outputs catering to specific applications."
}