Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

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In-Depth Analysis of Machine Translation and Human Translation of Literary Book Chinese Traditional Culture and a Community with a Shared Future for Mankind

Authors
Xiang Long1, *, Ken Chen2, Oluwatoba O. Bamigbade2, David L. Swenson3
1Guilin University of Electronic Technology and Youjiang Medical University for Nationalities, Guilin, China
2Guilin Normal College, Guilin, China
3Deep Education Institute, Madison, USA
*Corresponding author. Email: longxiang@guet.edu.cn
Corresponding Author
Xiang Long
Available Online 4 September 2023.
DOI
10.2991/978-94-6463-230-9_139How to use a DOI?
Keywords
machine translation; literary texts; translation model; cultural exchanges; neural network; deep approach
Abstract

Driven by the rapid development of AI technology and machine learning, the advancement of machine translation (MT) is constantly gaining momentum. Undoubtedly, MT has greatly improved the efficiency of translation, especially the translation of scientific and technical documents. That said, the application of MT (Google Translate in this case) has shown some limitations, particularly in literary texts. This article analyzes two English versions of the Chinese book Chinese Traditional Culture and a Community with a Shared Future for Mankind in lexical and syntactical aspects from a Deep Approach, points out the current challenges facing MT system, such as the translation of classical Chinese and Chinese poems, and offers some practical advice for the improvement of MT, such as the establishment of parallel corpus and translation model based on neural network. If we manage to increase the accuracy of MT in literary fields, the application of MT will surely expand enormously. It will facilitate cultural exchanges and promote cultural diversity.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 September 2023
ISBN
978-94-6463-230-9
ISSN
2667-128X
DOI
10.2991/978-94-6463-230-9_139How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiang Long
AU  - Ken Chen
AU  - Oluwatoba O. Bamigbade
AU  - David L. Swenson
PY  - 2023
DA  - 2023/09/04
TI  - In-Depth Analysis of Machine Translation and Human Translation of Literary Book Chinese Traditional Culture and a Community with a Shared Future for Mankind
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 1163
EP  - 1170
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_139
DO  - 10.2991/978-94-6463-230-9_139
ID  - Long2023
ER  -