A Corpus-Based Multidimensional Analysis of EMI University Classroom Discourse

English Medium Instruction (EMI) researchers have called for studies that extend our understanding of EMI classroom discourse and the role of language in EMI in general (Dalton-Puffer & Smit, 2013; McKinley & Rose, 2022; Macaro, 2019). Corpus-based analytical frameworks are well-suited to analyze large amounts of naturally occurring language data and thus to provide reliable and verifiable findings about situationally defined language use such as language use in EMI contexts (see also Chapter 9, Author, this volume). The primary goal of this chapter is to introduce the principles and practices of carrying out an additive multi-dimensional (MD) analysis (Biber, 1988; Berber Sardina et al., 2019) affording an empirically driven comprehensive linguistic analysis of variation in a register that could be applied to an EMI context. Our case study showcases the methodology using 500,000 words of text from the Singapore EMI corpus (SEMIC). Relying on the results of the MD analysis, this chapter also demonstrates how to identify text types via cluster analysis, which could provide additional information about classroom discourse. It will demonstrate show how these advanced quantitative analytical frameworks can be applied to analyze EMI classroom discourse. The chapter will also highlight practical aspects of MD analysis.