Automated reading level classification model based on improved orbital pattern
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17535-8.pdf
Reference39 articles.
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3. Liu C, Chung KKH, Tang PM (2022) Contributions of orthographic awareness, letter knowledge, and patterning skills to Chinese literacy skills and arithmetic competence. Educ Psychol 42(5):530–548
4. Pae HK (2022) Toward a script relativity hypothesis: Focused research agenda for psycholinguistic experiments in the science of reading. J Cult Cogn Sci 6:1–21
5. Petersen SE, Ostendorf M (2009) A machine learning approach to reading level assessment. Comput Speech Lang 23(1):89–106
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