نتایج جستجو برای: intertextuality religious

تعداد نتایج: 43431  

Journal: :International Journal of Linguistics 2021

Journal: :Athenea Digital. Revista de pensamiento e investigación social 2003

Journal: :Academic journal of humanities & social sciences 2022

The paper is aimed at discussing the relationship between play Pygmalion and myth from intertextuality point of view. Intertextuality means inter-relationship among different texts. Special attention will be paid to similarities differences myth. Both two texts are compared analyzed by focusing on three aspects: characters, plot context. From characters’ view, male female characters compared. I...

2006

The previous chapter reviewed three traditions of genre studies, namely, the new rhetoric, systemic functional and ESP perspectives on genre. While new rhetoric genre analyses focus on the interrelation between text and context and SFL genre studies stress the linguistic analysis of text, ESP approaches to genre take an approach that is some way between these two. This chapter extends the discu...

2005
Ioannis Kanellos

Visualizing the book of the future, one might consider multi-modal integrations, non-linear reading strategies, Internet distribution, and customizable configurations to suit different user/reader profiles. In the first part of this paper, we discuss such concepts critically. The second part deals with a more profound aspect of electronic documents, one which could modify the very act of readin...

2009
Chunshen ZHU

The paper begins with a brief overview of sense and sense-making with reference to cohesion, coherence and intertextuality. Based on a word-by-word close analysis, it charts the semantic coherence of a classical Chinese poem, Ye Yu Ji Bei by Li Shangyin, followed by a mapping of the text’s metaphorical coherence in terms of ontological metaphors. Using the poem as a case example, the paper exam...

Journal: :CoRR 2014
James Brofos Ajay Kannan Rui Shu

In this work, we employ quantitative methods from the realm of statistics and machine learning to develop novel methodologies for author attribution and textual analysis. In particular, we develop techniques and software suitable for applications to Classical study, and we illustrate the efficacy of our approach in several interesting open questions in the field. We apply our numerical analysis...

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