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://preview.aclanthology.org/icon-24-ingestion/C16-2047/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/C16-2047.pdf