A Comparative Survey on Arabic Stemming: Approaches and Challenges

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ISSN Print: 2160-5912
ISSN Online: 2160-5920

Website: https://www.scirp.org/journal/iim
E-mail: iim@scirp.org

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Submission

"A Comparative Survey on Arabic Stemming: Approaches and Challenges"
written by Mohammad Mustafa, Afag Salah Eldeen, Sulieman Bani-Ahmad, Abdelrahman Osman Elfaki,
published by Intelligent Information Management, Vol.9 No.2, 2017

has been cited by the following article(s):

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[1]	Extractive Multi-Document Arabic Text Summarization Using Evolutionary Multi-Objective Optimization With K-Medoid Clustering IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3046494

[2]	Developing Two Different Novel Techniques for Arabic Text Stemming Intelligent Information Management, 2019 DOI:10.4236/iim.2019.111001

[3]	Arabic Light Stemming: A Comparative Study between P-Stemmer, Khoja Stemmer, and Light10 Stemmer 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2019 DOI:10.1109/SNAMS.2019.8931842

[4]	P-Stemmer or NLTK Stemmer for Arabic Text Classification? 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), 2019 DOI:10.1109/SNAMS.2019.8931818

[5]	Improving Arabic Stemmer: ISRI Stemmer 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), 2019 DOI:10.1109/ICWT47785.2019.8978248

[6]	Comparing the Effectiveness of the Improved ARLSTem Algorithm with Existing Arabic Light Stemmers 2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS), 2019 DOI:10.1109/ICTAACS48474.2019.8988118