This chapter shifts the analysis to the macro-structural (discourse unit) level. Short-text MDA reveals five dimensions at the discourse unit level (ten distinct functions). This chapter deals with the first three dimensions. The analysis begins with a brief discussion of the first dimension before exploring in depth the second and third dimensions. Throughout the analysis is guided by an exploration of prototypical discourse units – those discourse units most strongly associated with either side of a dimension. This allows an exploration of the roles of the L1 and the L2 speakers in the use of the functions as well as the interaction between discourse unit function and task, level of proficiency and attainment in the examination. These early studies show that that discourse unit functions are sensitive to task in particular and that the role of the examiner in the examination may be seen to vary through discourse unit functions as the proficiency of the L2 speaker increases. The chapter also remarks on links between micro-structural discourse functions and those at the macro-level.

Various factors affecting language learning are introduced, including demographic variables, and learners’ L1, cultural background and the context of language use, noting that the analysis of learner corpora can enable the exploration of language-learning processes during SLA and across different contexts. Practical challenges involved in building extensive learner corpora, especially spoken learner corpora, are discussed (e.g. variable constraints, scale of data, availability of data). The Trinity Lancaster Corpus (TLC), a spoken corpus based upon a language proficiency test, and two other corpora, are then introduced. The chapter then discusses MDA and its adaptation for short texts (short-text MDA). The chapter describes the challenges of analysing short texts within corpora and explains how short-text MDA may make it possible to explore discourse at both the micro-structural (turn) and macro-structural (discourse units) levels. The chapter concludes by noting that this exploration will lead to a deeper analysis of narrative structures as a result of the findings from the corpora studied in the book using short-text MDA.