Design of an English Semantic Translation Accuracy Evaluation System Based on Computer Technology
- DOI
- 10.2991/978-94-6463-046-6_80How to use a DOI?
- Keywords
- English Translation; Semantic Analysis; Model; System; Computer Technology
- Abstract
In order to improve the accuracy of English translation and evaluate the results of English translation, this paper proposes an accuracy evaluation system for English semantic translation based on computer technology. In this study, a constraint object selection model for English semantic translation assessment is constructed, which can constrain the inaccurate parts of translation. In this study, the context-related mapping semantic retrieval method is used to analyze the structural features of English translation, and the accuracy of English translation results is calculated. In order to achieve the accuracy assessment of English translation, weighted learning and adaptive weight analysis are used. Finally, the system is tested and run in this paper, and the final result is relatively good and has strong practicability.
- 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
TY - CONF AU - Huaxin Chen AU - Yibo Zhang PY - 2022 DA - 2022/12/17 TI - Design of an English Semantic Translation Accuracy Evaluation System Based on Computer Technology BT - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) PB - Atlantis Press SP - 689 EP - 695 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-046-6_80 DO - 10.2991/978-94-6463-046-6_80 ID - Chen2022 ER -