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)
- Editors:
- Michal Ptaszynski, Bartosz Ziolko
- 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
- Cite (ACL):
- Hamdy Mubarak, Shimaa Amer, Ahmed Abdelali, and Kareem Darwish. 2020. Arabic Curriculum Analysis. In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, pages 80–86, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).
- Cite (Informal):
- Arabic Curriculum Analysis (Mubarak et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2020.coling-demos.15.pdf