Ten years ago, I highlighted challenges arising from the application of CADS to multilingual datasets in an approach called “cross-linguistic corpus-assisted discourse studies” (Vessey, 2013). In the intervening years, the notions of superdiversity and translanguaging have been largely transformative in the fields of applied and sociolinguistics; research applying these notions has raised important questions about boundaries between languages and the nature of diversity in contemporary social contexts (e.g., Blommaert and Rampton, 2011). Drawing and building on these theoretical advances, in this paper I propose to resituate cross-linguistic CADS within a broader intersectional CADS framework (Candelas de la Ossa, 2019; Jaworska and Hunt, 2017; Hunt and Jaworska, 2019; Kitis, Milani and Levon, 2018; Subtirelu, 2015). Specifically, I underscore the methodological contributions that CADS research can make to the study of intersectionality (Nash, 2008) and I suggest how intersectional theories can support and enrich CADS researchers’ arguments about “non-obvious” meaning (Partington, 2017).

From cross-linguistic to intersectional corpus-assisted discourse studies

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