Exploring the Informatization Inheritance Pathway of Chinese Language and Literature in the Age of Artificial Intelligence
Pubblicato online: 11 nov 2024
Ricevuto: 15 giu 2024
Accettato: 22 set 2024
DOI: https://doi.org/10.2478/amns-2024-3180
Parole chiave
© 2024 Xingli Zhang., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The Chinese language and literature are the treasures of Chinese culture, but as a cultural content with threshold, its inheritance and development are facing more and more severe tests in the era of artificial intelligence nowadays. The study analyzes the current difficulties in the inheritance and development of Chinese language and literature, as well as the challenges to literary creation posed by today’s booming generative artificial intelligence. Based on this, a multi-objective regression model combining multiple categories of relevant information is constructed to analyze the factors influencing the inheritance of Chinese language and literature informationization. Based on the conclusions of the regression analysis, proposals with feasible strategies for the digitization of Chinese language and literature are presented. There is a similar gender ratio among the respondents (51.57%, 48.43%). The age group is mainly concentrated in 19-40 years old, and the proportion of this age group is 50.12%. College and bachelor’s degrees and above accounted for 84.66% of educational attainment, respectively. The number of company employees is the largest, and their monthly income is mostly in the range of (500,10000). In Chinese language and literature informatization inheritance, the cumulative variance contribution rate of the four male factors, namely, social factors, own factors, government factors, and market factors, is 71.589%, which explains a total of 71.589% of the total variables. Chinese language and literature informational heritage = 0.235*social factors + 0.158*self factors + 0.284*government factors. The self-factor, government, and social factors have a significant effect on the inheritance of information technology.