Abstract
In this paper, we present CamelParser, a state-of-the-art system for Arabic syntactic dependency analysis aligned with contextually disambiguated morphological features. CamelParser uses a state-of-the-art morphological disambiguator and improves its results using syntactically driven features. The system offers a number of output formats that include basic dependency with morphological features, two tree visualization modes, and traditional Arabic grammatical analysis.- Anthology ID:
- C16-2048
- 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:
- 228–232
- Language:
- URL:
- https://aclanthology.org/C16-2048
- DOI:
- Cite (ACL):
- Anas Shahrour, Salam Khalifa, Dima Taji, and Nizar Habash. 2016. CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 228–232, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation (Shahrour et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/landing_page/C16-2048.pdf