The interactive development of computational models and multimodal discourse analysis theory
Year: 2024
Type: article
Abstract: With the rapid advancement of computational technologies and the in-depth exploration of multimodal discourse analysis theory, the intersection of these fields has become a frontier area in both technology and linguistics research. This article examines the application of computational models in multimodal discourse analysis and analyzes how innovations in multimodal discourse analysis theory drive advancements in computational models. Through empirical studies and theoretical discussions, the paper reveals the interaction mechanisms between computational models and multimodal discourse analysis in practice and highlights their theoretical complementarity, providing new perspectives and methodologies for future research. The findings show that effective computational models enhance the accuracy and depth of multimodal analysis, while theoretical innovations in multimodal discourse analysis propel computational models toward greater efficiency and adaptability.
Author: Qunli Xie
Institution: Software Engineering Institute of Guangzhou
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405728186