CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation

Anas Shahrour, Salam Khalifa, Dima Taji, Nizar Habash


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:
Bibkey:
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)
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PDF:
https://aclanthology.org/C16-2048.pdf