CamelParser: A system for Arabic syntactic analysis and morphological disambiguation

Anas Shahrour, Salam Khalifa, Dima Taji, Nizar Habash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationCOLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016
Subtitle of host publicationSystem Demonstrations
PublisherAssociation for Computational Linguistics, ACL Anthology
Pages228-232
Number of pages5
ISBN (Print)9784879747037
StatePublished - 2016
Event26th International Conference on Computational Linguistics, COLING 2016 - Osaka, Japan
Duration: Dec 11 2016Dec 16 2016

Publication series

NameCOLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations

Other

Other26th International Conference on Computational Linguistics, COLING 2016
CountryJapan
CityOsaka
Period12/11/1612/16/16

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics
  • Computational Theory and Mathematics

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