Application of Recurrent Neural Networks Based on Attentional Mechanisms in Classification Error Correction in English Teaching

[1] Hsu, T. C. (2017). Learning english with augmented reality: do learning styles matter?. Computers & Education, 106(MAR.), 137-149. Search in Google Scholar

[2] Xuan, Lam, Pham, Thi, Huyen, & Nguyen, et al. (2017). Research through the app store: understanding participant behavior on a mobile english learning app. Journal of Educational Computing Research. Search in Google Scholar

[3] Wang, D., Khambari, M. N. M., Wong, S. L., & Razali, A. B. (2021). Exploring interest formation in english learning through xplorerafe+: a gamified ar mobile app. Sustainability, 13. Search in Google Scholar

[4] Julian, N., David, A., & Kathy, C. (2021). ‘did you see that?’—the role of repetition and enhancement on lexical bundle processing in english learning materials. Applied Linguistics(3), 3. Search in Google Scholar

[5] Judd, T. (2019). Informal neuropsychological evaluation of english learning aptitude in linguistically, educationally, and epidemiologically diverse populations. Archives of Clinical Neuropsychology(7), 7. Search in Google Scholar

[6] EVANS, & STEPHEN. (2017). English in hong kong higher education. World Englishes. Search in Google Scholar

[7] Cavaglia, C., Machin, S., Mcnally, S., & Ruiz-Valenzuela, J. (2021). Gender, achievement, and subject choice in english education. Oxford Review of Economic Policy. Search in Google Scholar

[8] Couper, G. (2019). Teachers’ cognitions of corrective feedback on pronunciation: their knowledge, theories and practices. System. Search in Google Scholar

[9] Karim, K., & Nassaji, H. (2018). The revision and transfer effects of direct and indirect comprehensive corrective feedback on esl students’ writing. Language Teaching Research, 24(4). Search in Google Scholar

[10] Liu, X., & Wei, J. (2021). Book review: the cambridge handbook of corrective feedback in second language learning and teaching. Frontiers in Psychology, 12. Search in Google Scholar

[11] Lee, A. H. (2022). The cambridge handbook of corrective feedback in second language learning and teaching edited by hosseinnassaji and evakartchava. cambridge, uk: cambridge university press, 2021. pp. xxi + 796. TESOL Quarterly, 56(2), 852-854. Search in Google Scholar

[12] Shufang, Z., & Sun, G. (2021). Design of an automatic english pronunciation error correction system based on radio magnetic pronunciation recording devices. Journal of Sensors(Pt.11), 2021. Search in Google Scholar

[13] Chen, X. (2021). Synthetic network and search filter algorithm in english oral duplicate correction map. Complexity, 2021. Search in Google Scholar

[14] Yao, Y., & Ma, C. (2021). A multimedia network english listening teaching model based on confidence learning algorithm of speech recognition. International Journal of Electrical Engineering Education, 002072092098467. Search in Google Scholar

[15] Jeremy, H. (2019). The routledge handbook of english language teaching. ELT Journal(3), 3. Search in Google Scholar

[16] Bridle, M. (2019). Learner use of a corpus as a reference tool in error correction: factors influencing consultation and success. Journal of English for Academic Purposes, 37, 52-69. Search in Google Scholar

[17] Buckingham, L., & G-Ekinci, D. A. (2017). Interpreting coded feedback on writing: turkish efl students’ approaches to revision. Journal of English for Academic Purposes, 26, 1-16. Search in Google Scholar