Research and Application of English Language Processing Algorithm Based on Deep Learning

Aiming at the shortage of the conventional English text segmentation software, we present an approach based on multi-modality classification, which can efficiently resolve the heterogeneous English tags. Furthermore, we present a new algorithm for GRU-CRF, which is used in order to increase the speed of training and the precision of segmentation. Through simulation experiments, the results show that the proposed GRU-CRF hybrid network not only has a faster convergence speed, but also significantly improves the overall model performance, demonstrating better segmentation efficiency and accuracy than traditional methods. This method provides a new solution for improving the segmentation performance of English natural language processing.