Abstract
In order to improve the effect of spoken English training, this paper combines multimedia information technology to reform the teaching of spoken English training, and integrates BP neural network English into spoken English training. Moreover, this paper combines the actual needs of spoken English training and the teaching framework of the multimedia system to construct the data set, clean up the data set, and implement the word vector representation of students and professionals. In addition, this paper constructs the entire system framework of the spoken English resource recommendation algorithm based on the graph convolutional neural network, and combines the BP deep neural network algorithm to construct the spoken English training system. Finally, this paper designs an experiment to evaluate the effect of this system. The experimental research results show that the multimedia based on the BP deep neural network proposed in this paper has a good effect in the application research of spoken English training, and can effectively promote the effect of spoken English training of students.
Highlights
Oral expression ability, as an important English language skill, promotes the formation of students’ English pragmatic competence, and is an important manifestation of the function of English communication tools. erefore, it has attracted great attention from teachers and students [1]
Many teachers find that students lack enthusiasm for oral training in English classrooms, and their participation is generally low, which leads to unsatisfactory oral training effects, and the students’ oral level is not improved
English teaching can be divided into four teaching sections: listening, speaking, reading and writing
Summary
As an important English language skill, promotes the formation of students’ English pragmatic competence, and is an important manifestation of the function of English communication tools. erefore, it has attracted great attention from teachers and students [1]. Many teachers find that students lack enthusiasm for oral training in English classrooms, and their participation is generally low, which leads to unsatisfactory oral training effects, and the students’ oral level is not improved. As far as the current college spoken English teaching is concerned, there are still some problems that affect the further improvement of students’ oral ability. Is kind of fear of students has seriously affected the improvement of students’ oral English ability. Students’ oral practice is only limited to classroom conversations or some English activities organized by the school. For improving the current situation of college students’ spoken English, it is crucial to pay great attention to spoken English. Teachers should pay attention to spoken English teaching, and students should pay attention to spoken English learning. Is paper combines the BP deep neural network algorithm to construct an spoken English training system to improve the intelligent effect of spoken English training, and evaluates the performance of the system through experimental research
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