The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Metadata Harvesting (OAI2)
  • Digital Archiving Policy
  • Promote your Publication

IJACSA

  • About the Journal
  • Call for Papers
  • Author Guidelines
  • Fees/ APC
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Editors
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Guidelines
  • Fees
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Editors
  • Reviewers
  • Subscribe

Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Corpus for Test, Compare and Enhance Arabic Root Extraction Algorithms

Author 1: Nisrean Thalji
Author 2: Nik Adilah Hanin
Author 3: Yasmin Yacob
Author 4: Sohair Al-Hakeem

Download PDF

Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080529

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 5, 2017.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Many studies have focused recently on building, evaluating and comparing Arabic root extracting algorithm. The main challenges facing root extraction algorithms are the absence of standard data set for testing, comparing and enhancing different Arabic root extraction algorithms. In addition, the absence of complete lists of roots prefixes suffixes and patterns. In this paper, we describe the development of a new corpus driven from traditional Arabic dictionaries “mu’jams”. The goal is to use the corpus, as a new gold standard data set for testing, comparing and enhancing different Arabic root extraction algorithms. This data set covers all types of words and all roots. It contains each word and its root as a pair to avoid the consultation of a human expert needed to verify the correct roots of words used in the testing or comparing process. We describe the individual phases of the corpus construction, i.e. normalisation, reading derivation words and roots as a pair, and reading each root and its definition part. We have automatically extracted (12000) roots, (430) prefixes, (320) suffixes, (4320) patterns, and (720,000) word-root pair. Konja’s and Garside Arabic root extraction algorithm was tested on this corpus; the accuracy was (63%), then we test it after supplying it with our lists of roots prefixes suffixes and patterns, the accuracy of it became 84%.

Keywords: Arabic root extraction algorithm; corpus; pattern; prefix; suffix; root

Nisrean Thalji, Nik Adilah Hanin, Yasmin Yacob and Sohair Al-Hakeem, “Corpus for Test, Compare and Enhance Arabic Root Extraction Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 8(5), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080529

@article{Thalji2017,
title = {Corpus for Test, Compare and Enhance Arabic Root Extraction Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080529},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080529},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {5},
author = {Nisrean Thalji and Nik Adilah Hanin and Yasmin Yacob and Sohair Al-Hakeem}
}


IJACSA

Upcoming Conferences

Future of Information and Communication Conference (FICC) 2023

2-3 March 2023

  • Virtual

Computing Conference 2023

22-23 June 2023

  • London, United Kingdom

IntelliSys 2023

7-8 September 2023

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2023

2-3 November 2023

  • San Francisco, United States
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. Registered in England and Wales. Company Number 8933205. All rights reserved. thesai.org