Modelling the flow of discourse in a corpus of written academic English

Abstract

Discourse studies attempt to describe how context affects text, and how text progresses from one sentence to the next. Systemic Functional Linguistics (SFL) offers a model of language to describe how information flow varies according to context and co-text through the Textual metafunction, especially using the functions of Participant Identification and Tracking, Theme and Information Structure. These systems were evaluated by assembling a corpus of academic texts and assessing their information flow. Results of the analysis of the three grammatical systems in the Textual Metafunction demonstrate significant patterns, or unmarked choices, where the participant, thematic and information systems combine to powerful effect. Where the systems are not aligned, there is a recognisable effect on the flow of information