The Construction of the “Sinolingo” Platform and a Study on Its Effectiveness in Autonomous Translation Learning
- DOI
- 10.2991/978-94-6239-630-2_54How to use a DOI?
- Keywords
- Autonomous Translation Learning; Large Language Models (LLMs); Computer-Assisted Translation Pedagogy; Translation of Chinese Culture; Prompt Engineering
- Abstract
This study investigates the efficacy of “Sinolingo”, a customized translation platform designed for traditional Chinese culture and powered by DeepSeek, in supporting autonomous translation learning. The paper elaborates on the platform’s design philosophy and core architecture, introducing the “TRICE” framework. Through empirical research, it demonstrates that the platform significantly enhances autonomous translation learning, reflected in the effectiveness of both the overall platform and its individual functional components. The results indicate that the platform effectively facilitates translation learning, enhances the quality of students’ output, and provides a valuable reference for the design and implementation of intelligent computer-assisted translation tools in pedagogical contexts.
- Copyright
- © 2026 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 - Mingkai Li AU - Qiaoxi Huang AU - Jinwen Hu AU - Renjia Chen AU - Menglian Liu AU - Xingyu Pu PY - 2026 DA - 2026/04/23 TI - The Construction of the “Sinolingo” Platform and a Study on Its Effectiveness in Autonomous Translation Learning BT - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025) PB - Atlantis Press SP - 561 EP - 578 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-630-2_54 DO - 10.2991/978-94-6239-630-2_54 ID - Li2026 ER -