A large scale corpus of Gulf Arabic

Salam Khalifa, Nizar Habash, Dana Abdulrahim, Sara Hassan

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

Abstract

Most Arabic natural language processing tools and resources are developed to serve Modern Standard Arabic (MSA), which is the official written language in the Arab World. Some Dialectal Arabic varieties, notably Egyptian Arabic, have received some attention lately and have a growing collection of resources that include annotated corpora and morphological analyzers and taggers. Gulf Arabic, however, lags behind in that respect. In this paper, we present the Gumar Corpus, a large-scale corpus of Gulf Arabic consisting of 110 million words from 1,200 forum novels. We annotate the corpus for sub-dialect information at the document level. We also present results of a preliminary study in the morphological annotation of Gulf Arabic which includes developing guidelines for a conventional orthography. The text of the corpus is publicly browsable through a web interface we developed for it.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
PublisherEuropean Language Resources Association (ELRA)
Pages4282-4289
Number of pages8
ISBN (Electronic)9782951740891
StatePublished - Jan 1 2016
Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia
Duration: May 23 2016May 28 2016

Other

Other10th International Conference on Language Resources and Evaluation, LREC 2016
CountrySlovenia
CityPortoroz
Period5/23/165/28/16

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Keywords

  • Arabic dialects
  • Corpus
  • Gulf Arabic
  • Large-scale

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Language and Linguistics
  • Education

Cite this

Khalifa, S., Habash, N., Abdulrahim, D., & Hassan, S. (2016). A large scale corpus of Gulf Arabic. In Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 (pp. 4282-4289). European Language Resources Association (ELRA).