Research on Media Text Translation Based on Information Retrieval
Jiuquan Zhang, Yan Meng · International Journal of e-Collaboration · 2025
This paper focuses on the research of media knowledge text translation based on information retrieval, and discusses how information retrieval technology can affect and optimize the translation process and results of media texts. By combining the basic principles of information retrieval technology and its practical application scenarios, this paper analyzes the characteristics of media texts and their special requirements for translation. Through the design experiment, the effect of information retrieval technology on improving translation quality, efficiency and reaction cost is evaluated. The experimental results show that this technology can significantly improve the accuracy and fluency of translation, shorten the translation cycle and reduce the cost. The application prospect of information retrieval in the field of translation will be broader. This study can not only provide a new perspective and method for the translation of media texts, but also contribute to the improvement of cross-cultural communication and information dissemination efficiency.