Influence of Pre-translation Project Management on Translation Quality: A Study Based on SPSS20.0 Software
- DOI
- 10.2991/978-94-6463-172-2_191How to use a DOI?
- Keywords
- Type texts; Staff size; SPSS20.0 Software; One-way Anova Test; Translation Quality
- Abstract
This study aims to explore how text types and staff size in the pre-translation affect translation project quality. SPSS20.0 software is a commonly used software for data analysis, featuring with complex statistical algorithms but simple operation and clear interface. Hence, statistical survey and one-way Anova test are used to analyze the research data. Results show that in pre-translation in the same project, the more editable texts, the better translation project quality. While the bigger staff size, the lower translation project quality. Therefore, optimizing the text types and reducing staff in pre-translation can ensure translation quality and enhance project management efficiency. But the project management process is complicated, and how to decide the pre-translation management strategy according to the risk preference of an enterprise to improve the project quality is also worthy of further study.
- 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 - Hong Xie AU - Peng Wang AU - Lulu Cheng PY - 2023 DA - 2023/06/30 TI - Influence of Pre-translation Project Management on Translation Quality: A Study Based on SPSS20.0 Software BT - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023) PB - Atlantis Press SP - 1731 EP - 1736 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-172-2_191 DO - 10.2991/978-94-6463-172-2_191 ID - Xie2023 ER -