Research on the Reform of Ancient Chinese and Modern Chinese Language Teaching in the Context of Deep Learning

[1] Deng, S. (2021). Exploration of teacher agency in the implementation of the esp language education policy in a chinese university. Theory and Practice in Language Studies, 11(3), 302. Search in Google Scholar

[2] Gouault, T. (2017). He teaching of ancient languages at oratory school in le mans in the 18th century: challenging the importance of greek and latin. Annales de Bretagne et des pays de l’Ouest, 124(2), 57-73. Search in Google Scholar

[3] Zhang, W., & Li, M. (2017). A functional study of lexical conversion within modern chinese nominal group. International Journal of English Linguistics, 7(6), 138. Search in Google Scholar

[4] Hue, D. T. (2018). Modern chinese literature with the absence of the russian school of formalism. VNU Journal of Foreign Studies, 34(6). Search in Google Scholar

[5] Lee, N. H. (2018). Pragmatic functions of time quantity structure in modern chinese. The Journal of Chinese Language and Literature, 108, 103-118. Search in Google Scholar

[6] Zhao, R. (2017). Optimization design and innovation of modern chinese vocabulary teaching mode based on internet platform. Boletin Tecnico/Technical Bulletin, 55(11), 561-566. Search in Google Scholar

[7] Jian-Bin, M., Gui-Fa, T., Gui-Hong, Z., & Chen-Xia, S. (2017). Practical teaching reform on computational thinking training for undergraduates of computer major. Eurasia Journal of Mathematics Science & Technology Education, 13(10), 7121-7130. Search in Google Scholar

[8] Lu, J., & Liu, Y. (2016). Learner autonomy as an element in chinese education reform: a case of english language subject. English Language Teaching, 9(3), 33. Search in Google Scholar

[9] Only, S. (2017). A comprehensive evaluation of new course reform of chinese language and literature by using online survey. Boletin Tecnico/technical Bulletin, 55(4), 726-731. Search in Google Scholar

[10] Qian, X. (2017). Recent developments of china’s basic foreign language education: review and reflections. Asian EFL Journal, 2017(98), 45-60. Search in Google Scholar

[11] Zhang, J. (2017). Analysis of the innovative mode of college foreign language teaching from the perspective of digital literacy. Agro Food Industry Hi Tech, 28(1), 14-17. Search in Google Scholar

[12] Zhou, Y. (2020). The teaching reform plan of environmental design curriculum in chinese universities and colleges. Journal of Higher Education Research, 1(3). Search in Google Scholar

[13] Jun, T. (2017). An analysis of the humanistic deductive teaching model in the ancient literature course based on multimedia. Boletin Tecnico/Technical Bulletin, 55(19), 151-157. Search in Google Scholar

[14] Jia, L. (2019). Teaching of classical chinese prose under bilingual environment in singapore. Sinología Hispánica, 1(8), 121. Search in Google Scholar

[15] Zhao, Meiyan, Kim, & Hyun-cheol. (2016). A study on pragmatic functions and deep grammatical meaning of verb-reduplication in modern chinese. The Journal of Chinese Language and Literature(99), 121-144. Search in Google Scholar

[16] Kim, & Jin-hee. (2016). A study on the structure features of the modern chinese state adjectives. The Journal of Chinese Language and Literature(96), 53-73. Search in Google Scholar

[17] Kulikov, D. Y. (2021). Inscriptions on the ancient chinese bronze vessels “bi qi you” (late shang period). Orientalistica, 4(1), 52-76. Search in Google Scholar

[18] Tan, Z. (2016). Cultural resistance to imported pedagogy: the case of task-based language teaching in english class in china. International Journal for Innovation Education and Research, 4(2), 1-9. Search in Google Scholar

[19] Moodie, I., & Nam, H. J. (2016). English language teaching research in south korea: a review of recent studies (2009–2014). Language Teaching, 49(01), 63-98. Search in Google Scholar

[20] Cheng, J. Z., Ni, D., Chou, Y. H., Qin, J., Tiu, C. M., & Chang, Y. C., et al. (2016). Computer-aided diagnosis with deep learning architecture: applications to breast lesions in us images and pulmonary nodules in ct scans. Scientific Reports, 6, 24454. Search in Google Scholar

[21] Polson, N., & Sokolov, V. (2016). Deep learning predictors for traffic flows. Transportation Research Part C Emerging Technologies, 79, 1-17. Search in Google Scholar