Abstract: Recently, activity surrounding Arabic natural language processing has increased significantly. Morphological analysis is the basis of most tasks related to Arabic natural language processing. There are many scientific studies on Arabic morphological analysis, yet most of them lack an accurate classification of Arabic morphology and fail to cover both recent and traditional techniques. This paper aims to survey Arabic morphological analysis techniques from 2005 to 2019 and to organize them into a reasonable and expandable classification system. To facilitate and support new research, this paper compares the currently available Arabic morphological analyzers, reaches certain conclusions, and proposes some promising directions for future research in Arabic morphological analysis.

Ameerah Alothman and AbdulMalik Alsalman, “Arabic Morphological Analysis Techniques” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110229

@article{Alothman2020,
title = {Arabic Morphological Analysis Techniques},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110229},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110229},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Ameerah Alothman and AbdulMalik Alsalman}
}