CBAS: Context Based Arabic Stemmer

El-Defrawy, Mahmoud; El-Sonbaty, Yasser; Belal, Nahla A.

doi:10.5121/ijnlc.2015.4301

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Cited by 9 publications

(1 citation statement)

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“…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).…”

Section: Mentionmentioning

confidence: 99%

Tashaphyne: A Python package for Arabic Light Stemming

Zerrouki

2024

JOSS

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Stemming is an important task in natural language processing that involves reducing a word to its root form, or stem. In many cases, stemming can significantly improve the accuracy and efficiency of text analysis tasks such as information retrieval, text classification, and sentiment analysis. For the Arabic language, which has a rich morphology with a large number of prefixes and suffixes, stemming is particularly challenging. Tashaphyne provides an effective solution to this challenge, making it a valuable tool for researchers and practitioners working with Arabic text data.

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