Terminology Translation Optimization Program
Doc2XAPITranslate provides a three-tier solution strategy to the problem of terminological accuracy in the translation of academic papers:
built-in solution
- Translator Preferences: Prefer academic translators such as DeepSeek/DeepL, which excel in STEM fields
- contextualization: the tool automatically passes in the prev_text/next_text context to improve terminology consistency
- Thesaurus Functions: Domain terminology cross-reference embedded through custom translator interfaces
Customized Solutions
Developers can modify the translate function to achieve precise control:
- Insert predefined term dictionary match replacement
- Interfacing with specialized APIs (e.g. WMT Medical Translation Engine)
- Add post-processing validation module
Supplementary Programs
- First use the tool to complete the initial flip, then use a CAT tool (e.g. Trados) to align the terms
- Adopting a hybrid model of "machine translation + human proofreading" for key chapters.
- Modeling personalized translations for subject areas (requires Ollama support)
Implementation of recommendations
For specialized fields such as life sciences, it is recommended to test the terminology accuracy of different translators with a small sample before batch processing.
This answer comes from the articleDoc2XAPITranslate: full-text translation of documents: quickly translate English PDF/MD papers into Chinese documents.The
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