Parsing arabic dialects

David Chiang, Mona Diab, Nizar Habash, Owen Rambow, Safiullah Shareef

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

Abstract

The Arabic language is a collection of spoken dialects with important phonological, morphological, lexical, and syntactic differences, along with a standard written language, Modern Standard Arabic (MSA). Since the spoken dialects are not officially written, it is very costly to obtain adequate corpora to use for training dialect NLP tools such as parsers. In this paper, we address the problem of parsing transcribed spoken Levantine Arabic (LA). We do not assume the existence of any annotated LA corpus (except for development and testing), nor of a parallel corpus LAMSA. Instead, we use explicit knowledge about the relation between LA and MSA.

Original languageEnglish (US)
Title of host publicationEACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Pages369-376
Number of pages8
Publication statusPublished - Dec 1 2006
Event11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006 - Trento, Italy
Duration: Apr 3 2006Apr 7 2006

Other

Other11th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2006
CountryItaly
CityTrento
Period4/3/064/7/06

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ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

Cite this

Chiang, D., Diab, M., Habash, N., Rambow, O., & Shareef, S. (2006). Parsing arabic dialects. In EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 369-376)