Impact of Feature Vectorization Methods on Arabic Text Readability Assessment
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-26254-8_73
Reference14 articles.
1. Boudchiche, M., Mazroui, A.: Spline functions for arabic morphological disambiguation. Applied Computing and Informatics (2020)
2. Cavalli-Sforza, V., Saddiki, H., Nassiri, N.: Arabic readability research: current state and future directions. Procedia Comput. Sci. 142, 38–49 (2018)
3. Clark, J.L.D., Clifford, R.T.: The FSI/ILR/ACTFL proficiency scales and testing techniques: development, current status, and needed research. Stud. Sec. Lang. Acquisit. 10(2), 129–147 (1988). https://doi.org/10.1017/S0272263100007270
4. Crossley, S.A., Skalicky, S., Dascalu, M., McNamara, D.S., Kyle, K.: Predicting text comprehension, processing, and familiarity in adult readers: new approaches to readability formulas. Discourse Process. 54(5–6), 340–359 (2017)
5. Deutsch, T., Jasbi, M., Shieber, S.: Linguistic features for readability assessment. arXiv preprint arXiv:2006.00377 (2020)
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