Research on Personalized Digital Information Translation Model Based on Big Data Analysis

At present, exploring learners' information needs, information activities, and the laws of accessing digital resources, and deepening personalized user services, is not only an important topic in translation research and development, but also a need for improving personalized language education services themselves. With the rapid growth of information, the demand for language learners is bound to increase. Only by possessing sufficient resources and providing professional personalized information push services can users obtain the necessary content in the information ocean with a targeted approach. This article concentrates on the latest situation of contemporary language teaching and the concrete policies of utilizing personalized digital information translation model based on the digital analysis, which has a convinced sensible significance for the development of language education concept under the background of the constant change in the field of big data analysis.