A Comparative Study on Arabic Stemmers

Abstract

Stemming is considered as a pre-processing step in many applications: text mining, information retrieval, machine translation etc. The Arabic language has many special cases or properties that affect stemming or any automatic method, it depends on both inflectional and derivational morphology to produce the various forms of the language words. Many researchers have proposed algorithms to solve the problems of stemming. This paper aims to make a comparison study among the existing Arabic stemmers, the comparison study is based on the methodologies, the usage, main idea, algorithm, the affixes, limitations, output, and the stemmers' sensitivity for both diacritics and context. General TermsNatural Language Processing.

Tashaphyne: A Python package for Arabic Light Stemming

“…Tashaphyne has been widely used as a tool in various natural language processing tasks by researchers. Stemming development and evaluation have been explored by (Atoum & Nouman, 2019;Dahab et al, 2015;ElDefrawy et al, 2015bElDefrawy et al, , 2016Younes Jaafar et al, 2017;Y. Jaafar & Bouzoubaa, 2015).…”