Skip to main content

Towards improved saudi dialectal Arabic stemming

Author name : GHADAH NAIF I ALWAKID
Publication Date : 2019-04-03
Journal Name : 2019 International Conference on Computer and Information Sciences (ICCIS)

Abstract

Arabic is a highly inflected language with a complex morphological structure compared to English, which makes the development of stemming mechanisms difficult. Stemming is even more challenging for dialectal Arabic, as it does not follow standard Arabic grammar rules for term conflation and attaching affixes to words. In this paper, we propose a new stemmer that integrates two techniques to stem Saudi words: The Information Science Research Institute (ISRI) Arabic stemmer and a rule-based stemmer developed in-house. Our stemming approach was applied to a corpus collected from Saudi dialect tweets and demonstrated improved stemming accuracy.

Keywords

Pattern matching , Natural language processing , Tools , Manuals , Task analysis , Social networking (online) , Tagging

Publication Link

https://ieeexplore.ieee.org/abstract/document/8716408

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
Contact