%0 Conference Proceedings
%T YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer
%A Khalifa, Salam
%A Zalmout, Nasser
%A Habash, Nizar
%Y Watanabe, Hideo
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F khalifa-etal-2016-yamama
%X 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.
%U https://aclanthology.org/C16-2047/
%P 223-227