Title: Research on application of deep neural network model in college English skill training system

Authors: Li Miao; Qian Zhou

Addresses: Elementary Department, Zhejiang Tongji Vocational College of Science and Technology, Hangzhou, Zhejiang, China ' IT Department, Novartis China, Pudong New Area, Shanghai, China

Abstract: In view of the current situation that the college English skill training system has not yet realised the scoring of subjective questions, the proposed system adopts the deep neural network model and linear regression model to realise the automatic scoring of subjective questions of oral English expression. The results show that the automatic scoring system for college students' English skill training can effectively improve the accuracy and coverage of the six dimensions of the lr-dnn fusion model. The 1-6 dimensional accuracy of lr-dnn fusion model is 93.51%, 92.45%, 90.37%, 92.36%, 91.81% and 92.15%, respectively. The results are of great value to improve students' English skill training system.

Keywords: deep neural network; language training; scoring; linear regression; intelligence.

DOI: 10.1504/IJWMC.2022.124818

International Journal of Wireless and Mobile Computing, 2022 Vol.22 No.3/4, pp.274 - 280

Received: 24 Nov 2021
Accepted: 26 Feb 2022
Published online: 09 Aug 2022 *

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