Deep learning model-based reading of Chinese language and literature classics and situational experience

[1] Aithal, S., Harischandra, P., Shylesh, S. (2016). Information Technology Innovations in Library Management: A Case of SIMS. International Journal of Modern Physics A, 1(1), 657-676. Search in Google Scholar

[2] Li, S., Chung, S., Hsiao, J. H. (2019). Music-reading expertise modulates the visual span for English letters but not Chinese characters. Journal of Vision, 19(4). Search in Google Scholar

[3] Caffarra, S., Lizarazu, M., Molinaro, N., et al. (2021). Reading-related brain changes in audiovisual processing: cross-sectional and longitudinal MEG evidence. The Journal of Neuroscience, JN-RM-3021-20. Search in Google Scholar

[4] Wang, C. (2021). Multimedia Network English Reading Teaching Model Based on Speech Recognition Confidence Learning Algorithm. Mathematical Problems in Engineering. Search in Google Scholar

[5] Yetta., Kwailing., Wong., et al. (2016). Music-reading training alleviates crowding with musical notation. Journal of Vision, PP 15. Search in Google Scholar

[6] Gao, X., Dera, J., Nijhof, A. D., et al. (2019). Is less readable liked better? The case of font readability in poetry appreciation. PLoS ONE, 14(12), e0225757. Search in Google Scholar

[7] Nachshon, O., Farah, R., Horowitz-Kraus, T. (2020). Decreased Functional Connectivity Between the Left Amygdala and Frontal Regions Interferes With Reading, Emotional, and Executive Functions in Children With Reading Difficulties. Frontiers in Human Neuroscience, 14, 104-. Search in Google Scholar

[8] Rainey, E. C. (2017). Disciplinary Literacy in English Language Arts: Exploring the Social and Problem- Based Nature of Literary Reading and Reasoning. Reading Research Quarterly, 52. Search in Google Scholar

[9] Nenadic, F., Oljaca, M. (2018). Individual differences in literary reading: Dimensions or categories. Psihologija, 52, 35-35. Search in Google Scholar

[10] Javourey-Drevet, L., Dufau, S., Franois, T., et al. (2022). Simplification of literary and scientific texts to improve reading fluency and comprehension in beginning readers of French. Applied Psycholinguistics, 43(2), 485-512. Search in Google Scholar

[11] Kayla., Tulloch., Kristen., et al. (2018). Tablet Computer Games to Measure Dorsal Stream Performance in Good and Poor Readers.. Neuropsychologia, PP, 92-99. Search in Google Scholar

[12] Fan, C., Zhao, W. D., Bls, B., et al. (2019). L1 Reading Experience Influences L2 Lexical Learning: Spanish Learning in Chinese Speakers and English Speakers. Neuroscience, 416, 255-267. Search in Google Scholar

[13] Zhang, Y., Rong, X., Shu, M., et al. (2021). Identification of Key Influencing Factors of User Experience of Mobile Reading APP in China Based on the Fuzzy-DEMATEL Model. Mathematical Problems in Engineering, (1), 1-12. Search in Google Scholar

[14] Liu, X., Yang, Z. (2020). Research on legibility of English text based on improved decision tree and intelligent interactive system. Journal of Intelligent and Fuzzy Systems, 39(4), 5737-5747. Search in Google Scholar

[15] Simone, E. D., Beyersmann, E., Mulatti, C., et al. (2021). Order among chaos: Cross-linguistic differences and developmental trajectories in pseudoword reading aloud using pronunciation Entropy. PLoS ONE, 16(5), e0251629-. Search in Google Scholar