A Study on the English Translation of Traditional Chinese Medicine and Food Culture in a Dream of Red Mansions Based on Big Data: Take Yang’s Translation as an Example

DOI

10.2991/978-94-6239-691-3_8How to use a DOI?

Keywords

TCM and Food Culture; English Translation of “A Dream of Red Mansions”; Big Data Analysis

Abstract

In “A Dream of Red Mansions,” there are extensive descriptions of traditional Chinese medicine (TCM) dietary practices for health preservation. The TCM formulations mentioned encompass decoctions, pastes, pills, powders, and elixirs. Utilizing big data analysis technology, the research team focused on Yang’s translation to evaluate the translator’s comprehension and representation of the original TCM content. The study assessed whether the translator achieved cultural and semantic equivalence with the source text during the translation process. The research team analyzed the translation strategies, structural approaches, overseas reception, and identified shortcomings, highlighting instances of cultural misinterpretation and evaluating the overall translation effectiveness. This study aims to provide a reference for further research on the English translation of TCM food culture in “A Dream of Red Mansions.

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.

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TY  - CONF
AU  - Xiaoqing Hu
AU  - Xiangjin Wang
PY  - 2026
DA  - 2026/05/31
TI  - A Study on the English Translation of Traditional Chinese Medicine and Food Culture in a Dream of Red Mansions Based on Big Data: Take Yang’s Translation as an Example
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 60
EP  - 68
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_8
DO  - 10.2991/978-94-6239-691-3_8
ID  - Hu2026
ER  -