Universal Dependencies for Arabic

Dima Taji, Nizar Habash, Daniel Zeman

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

Abstract

We describe the process of creating NUDAR, a Universal Dependency treebank for Arabic. We present the conversion from the Penn Arabic Treebank to the Universal Dependency syntactic representation through an intermediate dependency representation. We discuss the challenges faced in the conversion of the trees, the decisions we made to solve them, and the validation of our conversion. We also present initial parsing results on NUDAR.

Original languageEnglish (US)
Title of host publicationWANLP 2017, co-located with EACL 2017 - 3rd Arabic Natural Language Processing Workshop, Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages166-176
Number of pages11
ISBN (Electronic)9781945626449
StatePublished - 2017
Event3rd Arabic Natural Language Processing Workshop, WANLP 2017 held at EACL 2017 - Valencia, Spain
Duration: Apr 3 2017 → …

Publication series

NameWANLP 2017, co-located with EACL 2017 - 3rd Arabic Natural Language Processing Workshop, Proceedings of the Workshop

Conference

Conference3rd Arabic Natural Language Processing Workshop, WANLP 2017 held at EACL 2017
Country/TerritorySpain
CityValencia
Period4/3/17 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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