Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Application of Computer Technology in Translation Teaching

Authors
Hong Zhou1, *
1School of Foreign Languages, Anhui Sanlian University, Hefei, China
*Corresponding author. Email: cahcjp@163.com
Corresponding Author
Hong Zhou
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_51How to use a DOI?
Keywords
Passive Structure translation; Translation Teaching; Self-Built Corpus; Computer Technology
Abstract

The form of English passive structure has a significant influence on its Chinese translation. Based on the self-built BTI corpus, this paper selects the previous data on the standard translation characteristics of English passive structure based on big data statistics as the reference, uses the method of variable analysis, and investigates ten Chinese versions of marked passive structures in students’ English translations from the perspective of comparative statistics. Data comparison shows a significant difference between the translation features shown in the BTI corpus and the standard translation features reflected in the reference data. Compared with the reference data, the proportion of long and short passives translated into active and agent theme structures decreased significantly. After receiving the theoretical explanation and training of translation skills, students pursue applying various translation skills on purpose while ignoring the most common and basic translation skills. For another, the deviation between the translation form features in the BTI corpus and the translation standard features reflected by the reference data shows the decline in the quality of students’ translation. The results help teach reflection and enlightenment to translation teaching with the aid of computer technology in the future.

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 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
978-94-6463-024-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_51How 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  - Hong Zhou
PY  - 2022
DA  - 2022/12/12
TI  - Application of Computer Technology in Translation Teaching
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 486
EP  - 494
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_51
DO  - 10.2991/978-94-6463-024-4_51
ID  - Zhou2022
ER  -