Intersemiotic Texture: Analyzing cohesive devices between language and images

Abstract

Recent research on multimodal discourse has explored the nature of semantic relations between different semiotic resources. Drawing on the interpretation of language as a social semiotic resource, this article proposes Intersemiotic Texture as the crucial property of coherent multimodal texts and presents a preliminary framework for cohesive devices between language and images. The framework is illustrated through examination of print media to demonstrate how the image-text relations are meta-functionally orchestrated across experiential, textual and logical meanings at the discourse stratum. A discourse-based model is suggested to analyze image-text logical relations complementary to existing grammar-based approaches. This research also develops a meta-language to describe Intersemiotic Cohesive Devices from two complementary perspectives: Intersemiotic Cohesion not only functions to integrate different modes together when multimodal discourse is conceptualized as a finished product, it also constitutes essential text-forming resources for semantic expansions across language and images during the ongoing contextualization of meanings in real time. © 2009 Taylor & Francis.