Elevating English Translation Strategies of Children’s Picture Books Through Deep Learning and Artificial Intelligence
Abstract
Deep learning, an artificial intelligence (AI) method, emerged shortly after the development of machine learning and other technologies. It enables machines to learn and interpret certain types of data in a large dataset, giving computers the ability to apply human-like thinking. In recent years, scholars have conducted in-depth research on deep learning and, subsequently, deep learning models have become widely used in the field of text emotion translation. However, few scholars have applied deep learning technology to the translation of children’s picture books. The main goal of AI technology is to reduce the cost of human labor and enable humans to process transactions more efficiently. AI technology has been widely used in speech translation and the translation of sophisticated literary works. The application of AI technology to the translation of children’s picture books
has become the focus of current translation studies and computer science scholars. Firstly, this paper explains the concepts related to deep learning, artificial intelligence and translation of children’s picture books. Then, in order to investigate the current status of the English translation of children’s picture books, online questionnaires are distributed to translation writers, preschool and primary school teachers, and primary school students. The survey questionnaire given to translators comprised items related to the sales of translated picture books; the teachers’ questionnaire pertained to the accuracy of the translation of picture books; and the survey of primary school students sought to determine whether they were interested in the content of the translated picture books. The statistical results obtained from the analysis of the survey data indicated that the sales of current English
translations of children’s picture books are not high, the translated content is not aligned with children’s interests, and the translations themselves are not accurate. Finally, a targeted solution is designed based on the translation strategies that have been applied to translated children’s books that have a high number of sales, the alignment of content with children’s interests, and the application ofAI deep learning technology to ensure that translations are accurate. According to the results of a second questionnaire survey of the same participants, the English translation of children’s picture books, when combined with deep learning AI technology, is improved in terms of efficiency, accuracy, and other indicators.
Keywords: children’s picture book; artificial intelligence; machine learning
Cite As
H. You, "Elevating English Translation Strategies of Children’s Picture Books Through Deep Learning and Artificial Intelligence",
Engineering Intelligent Systems, vol. 33 no. 1, pp. 69-75, 2025.