AI RESEARCH
From prompting to evidence-based translation: A RAG+prompt system for Japanese-Chinese translation and its pedagogical potential
arXiv CS.CL
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ArXi:2605.03387v1 Announce Type: new Large language models perform well on high-resource pairs but are less reliable for Japanese-Chinese sentences containing noun-modifying clause constructions (NMCCs). This study evaluates a retrieval-augmented generation RAG+Prompt translation system that integrates linguistic analysis, embedding-based retrieval, prompt construction, and LLM generation without modifying the base model. The analysis module outputs A1 (inner vs.