YAMAMA: Yet another multi-dialect Arabic morphological analyzer

Salam Khalifa, Nasser Zalmout, Nizar Habash

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

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-the-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.

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
Pages223-227
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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