Research on the establishment and application of Russian vocabulary memory intelligent information system

Vocabulary learning is the basis of learning English. Traditional memory models use mechanical memory methods, which enable users to remember vocabulary in a fixed period of time. These static memory models are complicated to plan, which is not conducive to users’ effective memory of vocabulary. Aiming at the above problems, an intelligent vocabulary memory model is proposed. Starting from the process of biological memory, the Ebbinghaus biological memory curve is quantified by power function, and the learning situation of each Russian word is tracked by the biological memory curve, which reminds users to review in time when Russian words are near the edge of forgetting, and dynamically adjusts the biological memory curve. The experimental results show that, compared with the traditional memory model, the model can make an accurate review plan for users, reduce the time for users to master vocabulary by 37. 04%, and has higher memory efficiency.