In order to further validate and extend the application of "GIKS" (Graphical Interface of Knowledge Structure) beyond English, this investigation applies the "GIKS" to capture, visually represent, and compare text structures inherent in two "contrasting" languages. The English and parallel Korean versions of 50 expository and 50 narrative texts from "Newsweek," "Popular Science" and "Vogue" magazines were converted into Pathfinder network graphs for analysis, based on key concepts and their relative proximity relationships in the texts. Results indicate that the novel text structures obtained by this approach reveal unique, useful, and interesting linguistic differences for the English and Korean texts, confirming prior linguistic literature (Sohn 2001). Particularly, the analyses show that the expository text structures are somewhat similar between these two languages while the narrative text structures are quite different. These findings demonstrate the utility of the "GIKS" for representing the nature of texts as manifested in different languages. If further confirmed in other languages, this computer-based approach could offer a new way for students and instructors to interact with lesson texts by providing a visual representation of text structure, regardless of language.