Revisiting Arabic Part of Speech Tagsets

Yahya O M Elhadj, Ahmed Abdelali, Rachid Bouziane, Adel H. Ammar

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

3 Citations (Scopus)

Abstract

Assigning the appropriate grammatical category to a word given a context is very important step in major areas of natural language processing. A limited numbers of Part of Speech Taggers currently exist for Arabic. These taggers mainly adopt tagsets that were developed for languages such as English. In this paper we present an effort of proposing a revised categories for Arabic POS tags that would take into consideration the richness of the language as well as its compatibility for automatic processing.

Original languageEnglish
Title of host publication2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014
PublisherIEEE Computer Society
Pages793-802
Number of pages10
Volume2014
ISBN (Electronic)9781479971008
DOIs
Publication statusPublished - 2014
Event2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014 - Doha, Qatar
Duration: 10 Nov 201413 Nov 2014

Other

Other2014 11th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2014
CountryQatar
CityDoha
Period10/11/1413/11/14

Keywords

  • Arabic Language
  • Linguistic Features
  • Morphology
  • Natural Language Processing
  • Part of Speech
  • Syntax
  • Tagging

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Elhadj, Y. O. M., Abdelali, A., Bouziane, R., & Ammar, A. H. (2014). Revisiting Arabic Part of Speech Tagsets. In 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014 (Vol. 2014, pp. 793-802). [7073282] IEEE Computer Society. https://doi.org/10.1109/AICCSA.2014.7073282