English-Chinese Translation Online Teaching System Based on Data Mining Algorithm

With the rapid development of modern communication technology, mobile phones, as an indispensable communication tool for people, record the trajectory of people's activities, not only in the real space, but also in the network space. The analysis and mining of all kinds of information data has been very. Data mining, which plays a crucial role in many scenarios, can help us discover a lot of valuable knowledge and anomaly patterns. The cultivation of translation ability is the core goal of current translation teaching, and the research on the composition of translation ability and the methods to improve translation ability is increasingly becoming the focus of translation teaching research. The development of translation ability is a dynamic interactive process, not a linear process guided by gradual input, but a dyna mic systematic behavior full of peaks, valleys, advances, reversals, stagnation, and even leaps forward, since it is composed of multiple sub-abilities and the multi-sub-abilities do not develop synchronously. The characteristics of dynamic assessment coincide with the dynamic change and complexity of the development of translation ability. In this paper, data mining algorithms are used to study the existing English-Chinese translation online systems.