YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer

Salam Khalifa, Nasser Zalmout, Nizar Habash


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.
Anthology ID:
C16-2047
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Editor:
Hideo Watanabe
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
223–227
Language:
URL:
https://aclanthology.org/C16-2047
DOI:
Bibkey:
Cite (ACL):
Salam Khalifa, Nasser Zalmout, and Nizar Habash. 2016. YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 223–227, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
YAMAMA: Yet Another Multi-Dialect Arabic Morphological Analyzer (Khalifa et al., COLING 2016)
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PDF:
https://aclanthology.org/C16-2047.pdf