Abstract: Manual grading process has many problems such as time consuming, costly, enormous resources, lot of efforts and huge pressure on instructors. These problems place the educational community in a dire need to have auto-grading systems so as to address these problems associated with manual grading. Auto-grading systems are wide spread over the world because they play a critical role in educational technology. Additionally, the auto-grading system is introducing many advantages as it saves cost, effort and time in comparison to manual grading. This research compares the different algorithms used in automatic grading systems in Arabic languages using string and corpus algorithms separately. This process is a challenging task following the necessity of inclusive assessment to authenticate the answers precisely. Moreover, the challenge is heightened when working with the Arabic language characterized by complexities in morphology, semantics and syntax. The research applied multiple similarity measures and introduces Arabic data set that contains 210 students’ answers. The results obtained prove that an automatic grading system could provide the teacher with an effective solution for article grading systems.

Abdulaziz Shehab, Mahmoud Faroun and Magdi Rashad, “An Automatic Arabic Essay Grading System based on Text Similarity Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 9(3), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090337

@article{Shehab2018,
title = {An Automatic Arabic Essay Grading System based on Text Similarity Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090337},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090337},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {3},
author = {Abdulaziz Shehab and Mahmoud Faroun and Magdi Rashad}
}