科技情报研究2026，Vol.8Issue(2)：24-35,12.DOI:10.19809/j.cnki.kjqbyj.2026.02.003
基于大语言模型与知识增强框架的文本翻译模型研究
Research on Text Translation Model Based on Large Language Model and Knowledge Enhancement Framework
摘要
Abstract
[Purpose/significance]This paper aims to improve the translation quality of large language models and effectively alleviate the translation illusion problem,thereby enhancing cross-linguistic information retrieval capabilities.[Method/process]A translation genera-tion method based on a knowledge enhancement framework is proposed.This framework optimizes the translation process from multiple dimensions,such as style,focus,and cultural adaptability,by combining external knowledge provided by the translation context building module and the knowledge base building and retrieval module,and then utilizing the guidance of the text attention module.[Result/con-clusion]Experimental results show that the proposed method effectively enhances model performance.Specifically,on the WikiLingua,TED,and CCMatrix datasets,the model's BLEU scores improved by 5.29%,5.94%,and 8.58%,respectively.In addition to traditional translation evaluation metrics,this paper also introduces a six-dimensional evaluation system based on large models and an evaluation experiment to address the translation illusion problem.Experimental results show that after applying the proposed framework to the large model,all metrics surpass those of existing mainstream translation tools.This research provides a new solution for text translation,which has significant practical implications for quickly and accurately understanding information from large amounts of foreign language data,and is helpful for intelligence gathering,analysis,and decision-making.关键词
大语言模型/知识增强/检索增强生成/文本翻译/智能信息处理Key words
large language model/knowledge enhancement/retrieval-augmented generation/text translation/intelligent information processing分类
社会科学引用本文复制引用
余传明,李昊轩..基于大语言模型与知识增强框架的文本翻译模型研究[J].科技情报研究,2026,8(2):24-35,12.基金项目
国家自然科学基金面上项目"基于知识增强的科技文献创新识别与评价模型研究"(编号:72374219) （编号:72374219）
国家自然科学基金面上项目"危机情境下网络信息传播失序识别与干预方法研究"(编号:72174153) （编号:72174153）
中南财经政法大学项目"多语言自然语言处理优质教学案例建设与应用"(编号:ALJS202520). （编号:ALJS202520）
