Article published in:
Review of Cognitive Linguistics
Vol. 16:2 (2018) ► pp. 494–518

English as a lingua franca in Europe: The identification of L1 and L2 accents

A multifactorial analysis of pan-European experimental data

| Universidad Complutense de Madrid
| University of Leuven
| University of Leuven
While empirical research on attitudes towards languages and linguistic varieties has become increasingly popular from the 1960s onwards (e.g. Lambert, Hodgson, Gardner, & Fillenbaum, 1960), experimental investigations into the ability to correctly identify the origin of speakers are in comparison still relatively scarce. We know that the ability to correlate a stretch of uncategorised speech (token) with a series of models (types) is experientially acquired in early childhood (e.g. Kristiansen, 2010), but how similar are those abilities in adulthood and across European nations? English as a Lingua Franca (ELF) has become an integral part of the linguistic reality in Europe (and of the linguistic scenario in the entire world) (e.g. Jenkins, Baker, & Dewey, 2018). Whenever we communicate with anyone who is not a speaker of our own native language in any European country, most of the time we communicate in English. But does our L1 accent still shine through? Will we be recognised (and in most cases probably also stereotypically judged) on the basis of just a short stretch of speech when we communicate in ELF? In Part I of this paper we outline the design of the first large-scale pan-European project on L1 and L2 identifications of ELF in Europe, including 785 respondents from 8 countries. Exploratory analyses confirm the hypothesis that statistically significant asymmetries would show up across different European countries or regions. In Part II of this paper we then aim to explain these asymmetries through a multifactorial statistical analysis (Geeraerts, Grondelaers, & Speelman, 1999; Tagliamonte & Baayen, 2012; Speelman, Heylen, & Geeraerts, 2018).
Keywords: English as a lingua franca, language awareness and identification, Cognitive Sociolinguistics, inferential statistics
Article outline
  • 1.Introduction
  • 2.Theoretical background: Lectal varieties as socially diagnostic triggers of meaning
  • 3.Identification experiment: Design and exploration
    • 3.1Design
    • 3.2Exploration
  • 4.Multifactorial analysis: Design
    • 4.1Response variable
    • 4.2Predictor variables
    • 4.3Analytic procedure
  • 5.Multifactorial analysis: Results
    • 5.1Mixed effect regression model
    • 5.2Conditional inference tree and random forest
  • 6.Conclusion
  • Notes
  • References
Published online: 05 November 2018
https://doi.org/10.1075/rcl.00019.kri
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