Artificial Intelligence English Learning and Recognition System Based on EMD Algorithm of Vector Geometric Model

How to achieve high-quality conversion between English paper documents and electronic documents has become an urgent problem to be solved. If there are serious deviations, noise and other factors at this stage, it will definitely affect the later work efficiency. In view of this, based on the vector set model EMD algorithm, this article builds an artificial intelligence English recognition model under the guidance of machine learning ideas, uses the discrete curvature of the curve to extract extreme points, and controls the scale of each feature by imposing feature scale restrictions on the extreme points. Moreover, in order to calculate the extreme value envelope of the surface, this paper uses the tensor product B-spline to fit the extreme points and perform plane parameterization on the grid. In addition, in order to reduce the error of fitting the curved surface, this paper adopts the parameterization method of free boundary. Finally, this paper designs a control experiment to verify the performance of the model. The research results show that the model constructed in this paper has a certain effect.