Arabic Curriculum Analysis

Hamdy Mubarak, Shimaa Amer, Ahmed Abdelali, Kareem Darwish


Abstract
Developing a platform that analyzes the content of curricula can help identify their shortcomings and whether they are tailored to specific desired outcomes. In this paper, we present a system to analyze Arabic curricula and provide insights into their content. It allows users to explore word presence, surface-forms used, as well as contrasting statistics between different countries from which the curricula were selected. Also, it provides a facility to grade text in reference to given grade-level and gives users feedback about the complexity or difficulty of words used in a text.
Anthology ID:
2020.coling-demos.15
Volume:
Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics (ICCL)
Note:
Pages:
80–86
Language:
URL:
https://aclanthology.org/2020.coling-demos.15
DOI:
10.18653/v1/2020.coling-demos.15
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2020.coling-demos.15.pdf