Studying the Intelligent Translation System for English Using 3D Visualisation Technologies
Authors: 
Liyue Zhang, Hui Yin, Wei Li, Xiaofeng Yin, Zhiyu WangAuthors Info & Claims
Liyue Zhang, Hui Yin, Wei Li, Xiaofeng Yin, Zhiyu WangAuthors Info & ClaimsPages 221 - 227
Abstract
The aim of this study is to design English intelligent translation system based on 3D visualisation technology. B/S architecture is adopted, with the core functions on the server side and users accessing them through web browsers. Intuitive interactive experience is provided through 3D visualisation technology, and the system hierarchy and modular design improve maintainability. Advanced 3D rendering technology is used to display multi-dimensional data, and users perceive the translation process in the virtual environment. Experiments demonstrate that the system makes significant progress in improving user interaction experience and understanding of the translation process. This research provides practical ideas for the innovation of intelligent translation systems.
References
[1]
Wang, Q., Tang, L., & Wang, Y. (2023). Potential applications of the metaverse in higher English education. Open Journal of Social Sciences, 11(1), 450-459.
[2]
Chai, J. J., O'Sullivan, C., Gowen, A. A., Rooney, B., & Xu, J. L. (2022). Augmented/mixed reality technologies for food: A review. Trends in Food Science & Technology, 124, 182-194.
[3]
Núñez-Marcos, A., Perez-de-Viñaspre, O., & Labaka, G. (2023). A survey on Sign Language machine translation. Expert Systems with Applications, 213, 118993.
[4]
Shu, X., & Gu, X. (2023). An empirical study of A smart education model enabled by the edu-metaverse to enhance better learning outcomes for students. Systems, 11(2), 75.
[5]
Kahlon, N. K., & Singh, W. (2023). Machine translation from text to sign language: a systematic review. Universal Access in the Information Society, 22(1), 1-35.
[6]
Vlachos, I. (2023). Implementation of an intelligent supply chain control tower: a socio-technical systems case study. Production planning & control, 34(15), 1415-1431.
[7]
Lan, C., Wang, Y., Wang, C., Song, S., & Gong, Z. (2023). Application of ChatGPT-Based Digital Human in Animation Creation. Future Internet, 15(9), 300.
[8]
Alethary, A. A., Aliwy, A. H., & Ali, N. S. (2022). Automated Arabic-Arabic sign language translation system based on 3D avatar technology. Int J Adv Appl Sci, 11(4), 383-396.
[9]
Dhanjal, A. S., & Singh, W. (2022). An automatic machine translation system for multi-lingual speech to Indian sign language. multimedia Tools and Applications, 1-39.
[10]
Li, L. (2022). Research on the Application of Mixed Reality Holographic Teaching Based on JIMO. In Design Studies and Intelligence Engineering (pp. 129-137). IOS Press.
[11]
Dhanjal, A. S., & Singh, W. (2022). An optimized machine translation technique for multi-lingual speech to sign language notation. Multimedia Tools and Applications, 81(17), 24099-24117.
[12]
Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, research issues and applications of artificial intelligence in language education. Educational Technology & Society, 26(1), 112-131.
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Published In
December 2023
541 pages
ISBN:9798400716775
DOI:10.1145/3641343
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 29 April 2024
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ICEITSA 2023
ICEITSA 2023: The 3rd International Conference on Electronic Information Technology and Smart Agriculture
December 8 - 10, 2023
Sanya, China
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