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

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.