IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Construction of a Research Model for Overseas Dissemination of Chinese Literature Based on Deep Learning Models

Construction of a Research Model for Overseas Dissemination of Chinese Literature Based on Deep Learning Models
View Sample PDF
Author(s): Hongjuan Zhang (Shanghai Zhongqiao Vocational and Technical University, China)
Copyright: 2025
Volume: 16
Issue: 1
Pages: 17
Source title: International Journal of Distributed Systems and Technologies (IJDST)
Editor(s)-in-Chief: Nik Bessis (Edge Hill University, UK)
DOI: 10.4018/IJDST.375389

Purchase


Abstract

With the comprehensive and in-depth implementation of the “going global” strategy of Chinese culture, research on the overseas dissemination of Chinese literature has gradually become a prominent discipline. This article first defines the essence of overseas translation of Chinese literature, and based on Brado's 7W communication model, combined with the current situation of overseas dissemination of Chinese literature, analyzes the motivation of translation ecology research on overseas dissemination of Chinese literature. Through simulation experiments and actual data analysis, the differences in the accuracy of individual and joint regularization methods in small sample high-dimensional feature selection of deep learning models were compared. The research on the overseas dissemination of Chinese literature is still in its infancy, and conducting research and analysis on it is of great significance.

Related Content

Cheng Liu, Lin Ji. © 2025. 23 pages.
Yao Guo. © 2025. 19 pages.
Jin Xu, Yanna Zhao. © 2025. 18 pages.
Tong Liu, Feng Qin. © 2025. 20 pages.
Chen Bo, Shan Miao, Yun Zhao, Jinyu Li. © 2025. 19 pages.
Peng Chen, Tian Tian. © 2025. 20 pages.
Hongjuan Zhang. © 2025. 17 pages.
Body Bottom