DOI
https://doi.org/10.47689/2181-3701-vol1-iss5-pp41-51Keywords
neural networks , educational technologies , new approaches , integration , softwareAbstract
This scientific article examines the specific aspects of using neural networks in the field of teaching foreign languages in higher educational institutions of Uzbekistan. Due to the rapid development of innovative technologies, neural networks act as a new promising tool that improves the process of teaching foreign languages. The purpose of this study is to evaluate the effectiveness of using neural networks in foreign language teaching and to determine their potential for the higher education system of Uzbekistan.
References
Bai, C., & Huang, W. (2021). Application of an Artificial Neural Network to Evaluate the Integration Effect of Quality Education and Skill Education. International Journal of Emerging Technologies in Learning (iJET), 16(07), pp. 218–232. https://doi.org/10.3991/ijet.v16i07.22121
Barzilay R., Lee L. (2003) Learning to paraphrase: an unsupervised approach using Multiple-Sequence Alignment. In Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, p.16-23. URL: https://aclanthology.org/N03-1003 (murojaat sanasi: 25.11.2023)
David, J., Brom, P., Starý, F., Bradáč, J., Dynybyl, V. (2021) Application of Artificial Neural Networks to Streamline the Process of Adaptive Cruise Control. Sustainability 2021, 13, 4572. https://doi.org/10.3390/ su13084572
Hoidi Z.B., Rossi D. (2022) Neural language models for network configuration: opportunities and reality check. Elsevier Computer Communications, Volume 193. https://doi.org/10.48550/arXiv.2205. 01398
Saini, S., & Sahula, V. (2018). Neural Machine Translation for English to Hindi. 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP), Kota Kinabalu, Malaysia, 2018, pp. 1-6, https://doi.org/10.1109/INFRKM.2018.8464781
Sun Sh., Luo Ch., Chen J. (2017) A review of natural language processing techniques for opinion mining systems. Inf. Fusion 36, C (July 2017), 10–25. https://doi.org/10.1016/j.inffus.2016.10.004
Taghipour K., Tou Ng H. (2016) A neural approach to automated essay scoring. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, p.1882-1891. Austin, Texas, November 1-5, 2016. URL: https://aclanthology.org/D16-1193.pdf (murojaat sanasi: 25.11.2023)
Zhai Ch., Wibowo S. (2023) A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university. Computers and Education: Artificial Intelligence. Volume 4. https://doi.org/10.1016/j.caeai.2023. 100134











