How We Built 非标准文本翻译与含义确认: A Context-Aware Book Translation Pipeline with Python and LLMs

Short summary

LectuLibre built a three-stage LLM pipeline for translating non-standard text (idioms, metaphors, cultural references) in books: DeepSeek flags tricky sentences cheaply, Claude 3.5 Sonnet produces contextual translations with plain-language explanations, and users confirm or edit results. The pipeline runs asynchronously in FastAPI, balancing cost and quality across hundreds of thousands of words. Includes concrete prompt examples and architectural reasoning for model selection.

• •Three-stage pipeline: DeepSeek for cheap detection, Claude 3.5 Sonnet for quality translation
• •User confirmation step lets translators review and edit non-standard text translations
• •Cost-aware design avoids sending every sentence to an expensive model

Generated with AI, which can make mistakes.