基于Trae的中医典籍英译平行语料库构建与应用研究

Research on Construction and Application of a Trae-Based C-E Parallel Corpus for TCM Classics

摘要: 中医典籍作为中华传统医学重要文献载体，其英译传播对于中医药国际化和中华文化全球推广具有重要意义。然而，当前中医典籍英译研究面临语料分散、标注不规范、检索效率低等困境。本文提出一种基于Trae的中医典籍英译平行语料库构建方法，设计并实现了从语料采集、文本清洗、段落对齐到智能比对的完整技术框架。系统以Python为核心开发语言，利用Trae平台的MCP协议扩展能力和RAG检索增强技术，实现了对《黄帝内经·素问》《伤寒论》等经典典籍的多版本平行语料自动化处理。研究表明，该框架能够显著提升中医典籍英译语料库的构建效率与质量，为翻译研究者和从业者提供有力的技术支撑，对推动中医药翻译学的数字化转型具有重要参考价值。

Abstract: As a treasure of Chinese civilization, the English translation and dissemination of traditional Chinese medical classics are of great significance for the internationalization of traditional Chinese medicine and the global promotion of Chinese culture. However, current research on the English translation of traditional Chinese medical classics is confronted with problems such as scattered corpora, non-standard annotation, and low retrieval efficiency. This paper proposes a method for constructing a parallel corpus of traditional Chinese medical classics based on Trae, and designs and implements a complete technical framework from corpus collection, text cleaning, paragraph alignment to intelligent comparison. The system is developed with Python as the core language and utilizes the MCP protocol extension capability and RAG retrieval enhancement technology of the Trae platform to achieve the automatic processing of multi-version parallel corpora of classic works such as “Essential Questions in Yellow Emperor’s Inner Canon”. The research shows that this framework can significantly improve the construction efficiency and quality of the English translation corpus of traditional Chinese medical classics, providing strong technical support for translation researchers and practitioners, and has important reference value for promoting the digital transformation of traditional Chinese medicine translation studies.