Application of deep learning in English translation of children’s picture books

Article type: Research Article

Authors: Chen, Yafang

Affiliations: Department of Basic Courses, Jiaozuo University, Jiaozuo, Henan, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Department of Basic Courses, Jiaozuo University, Jiaozuo, Henan, China. E-mail: [email protected].

Abstract: This study aims to explore the application of deep learning technology in the translation of children’s picture books. By analyzing the existing translation of children’s picture books, we extract the key factors to be considered in the translation process, and design a deep learning model to deal with these factors to achieve high-quality translation. At the same time, a picture book image recognition system is also implemented, which can understand the image content in the picture book and integrate these contents into the translation. Through continuous training and optimization of the model, an efficient picture book translation tool is obtained. In addition, the performance of the model in practical applications was evaluated, and the practical impact and value of deep learning in children’s picture book translation was explored through user feedback and surveys.

Keywords: Deep learning, children’s picture books, machine translation, image recognition, model optimization

DOI: 10.3233/JCM-237052

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 1, pp. 217-233, 2024