Research on Optimization Strategies for Accuracy of English Automatic Language Translation under Machine Learning Framework

[1] Fan, A., Bhosale, S., Schwenk, H., Ma, Z., El-Kishky, A., Goyal, S., ... & Joulin, A. (2021). Beyond english-centric multilingual machine translation. Journal of Machine Learning Research, 22(107), 1-48. Search in Google Scholar

[2] Qin, H., Shinozaki, T., & Duh, K. (2017). Evolution strategy based automatic tuning of neural machine translation systems. In Proceedings of the 14th International Conference on Spoken Language Translation (pp. 120-128). Search in Google Scholar

[3] Chen, C. (2023). Application of Q-learning virtual network and embedded processor in Chinese English translation sentence accuracy analysis. Soft Computing, 1-10. Search in Google Scholar

[4] Jiaxin, L., & Peiting, W. (2022). Research on Transfer Learning‐Based English‐Chinese Machine Translation. Mobile Information Systems, 2022(1), 8478760. Search in Google Scholar

[5] Cang, H., & Feng, D. (2024). Construction of English corpus oral instant translation model based on internet of things and deep learning of information security. Journal of Computational Methods in Sciences and Engineering, 24(3), 1507-1522. Search in Google Scholar

[6] Hung, J. W., Lin, J. R., & Zhuang, L. Y. (2021, September). The evaluation study of the deep learning model transformer in speech translation. In 2021 7th International Conference on Applied System Innovation (ICASI) (pp. 30-33). IEEE. Search in Google Scholar

[7] Wang, H. (2023, August). Machine Translation Based on Neural Network: A Case Study of Est Translation. In EAI International Conference, BigIoT-EDU (pp. 15-24). Cham: Springer Nature Switzerland. Search in Google Scholar

[8] Zhang, Q., Zhou, H., & Tsai, S. B. (2022). Design of English Translation Model of Intelligent Recognition Based on Deep Learning. Mathematical Problems in Engineering, 2022(1), 5674397. Search in Google Scholar

[9] Li, H., & Deng, J. (2022). Unreferenced English articles’ translation quality-oriented automatic evaluation technology using sparse autoencoder under the background of deep learning. Plos one, 17(7), e0270308. Search in Google Scholar

[10] Agrawal, R., & Jolly, S. K. (2020). Big Data and Machine Learning for Evaluating Machine Translation. Internet of Things and Big Data Applications: Recent Advances and Challenges, 11-34. Search in Google Scholar

[11] Du, P. (2019, April). Elimination of Machine Translation Errors in English Language Transformation. In 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) (pp. 642-647). IEEE. Search in Google Scholar

[12] Belinkov, Y. (2018). On internal language representations in deep learning: An analysis of machine translation and speech recognition (Doctoral dissertation, Massachusetts Institute of Technology). Search in Google Scholar

[13] Gu, S., & Li, X. (2021). Optimization of computer-aided English translation teaching based on network teaching platform. Computer-Aided Design and Applications, 19(S1), 151-160. Search in Google Scholar

[14] Liu, X. (2022). Evaluation of the Accuracy of Artificial Intelligence Translation Based on Deep Learning. Mobile Information Systems. Search in Google Scholar

[15] Chai, J. (2021, September). Intelligent English automatic translation system based on artificial intelligence support vector machine. In 2021 4th International Conference on Information Systems and Computer Aided Education (pp. 572-576). Search in Google Scholar

[16] Singh, S. P., Kumar, A., Darbari, H., Singh, L., Rastogi, A., & Jain, S. (2017, July). Machine translation using deep learning: An overview. In 2017 international conference on computer, communications and electronics (comptelix) (pp. 162-167). IEEE. Search in Google Scholar

[17] Guo, S. (2022, April). English Translation Software Accuracy Correction Based on Machine Learning Technology. In International Conference on Multi-modal Information Analytics (pp. 610-617). Cham: Springer International Publishing. Search in Google Scholar

[18] Sajadul Kumhar,Syed Ansarullah,Akber Gardezi,Shafiq Ahmad,Abdelaty Sayed & Muhammad Shafiq. (2022). Translation of English Language into Urdu Language Using LSTM Model. Computers, Materials & Continua(2),3899-3912. Search in Google Scholar

[19] Yonglan Li & Wenjia He. (2022). English-Chinese Machine Translation Model Based on Bidirectional Neural Network with Attention Mechanism. Journal of Sensors Search in Google Scholar

[20] Baniata Laith H.,Kang Sangwoo & Ampomah Isaac. K. E. (2022). A Reverse Positional Encoding Multi-Head Attention-Based Neural Machine Translation Model for Arabic Dialects. Mathematics(19),3666-3666. Search in Google Scholar

[21] Chenhui Chu,Yu Shen,Fabien Cromieresy & Sadao Kurohashi. (2017). Constrained Partial Parsing Based Dependency Tree Projection for Tree-to-Tree Machine Translation. Information and Media Technologies(0), 172-201. Search in Google Scholar

[22] Yan Yaoyao,Liu Fang’ai,Zhuang Xuqiang & Ju Jie. (2022). An R-Transformer_BiLSTM Model Based on Attention for Multi-label Text Classification. Neural Processing Letters(2),1293-1316. Search in Google Scholar