Multi-dimensional analysis, text constellations, and interdisciplinary discourse

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Thompson, Paul; Hunston, Susan; Murakami, Akira; Vajn, Dominik;
(2017)

Multi-Dimensional Analysis (MDA) has been widely used to explore register variation. This paper reports on a project using MDA to explore the features of an interdisciplinary academic domain. Six dimensions of variation are identified in a corpus of 11,000 journal artic... View more
  • References (25)
    25 references, page 1 of 3

    Biber, D. (1985). Investigating macroscopic textual variation through multifeature/multidimensional analyses. Linguistics, 23(2), 337-360. doi:10.1515/ling.1985.23.2.337

    Biber, D. (1988). Variation across speech and writing. Cambridge: Cambridge University Press.

    Biber, D. (1989). A typology of English texts. Linguistics 27, 3-43.

    Biber, D. (1990). Methodological issues regarding corpus-based analysis of linguistic variation. Literary and Linguistic Computing, 5(4), 257-269. doi:10.1093/llc/5.4.257

    Biber, D. (1995). Dimensions of register variation: A cross-linguistic comparison. Cambridge: Cambridge University Press.

    Biber, D. (2006). University language: A corpus-based study of spoken and written registers. Amsterdam: John Benjamins.

    Biber, D., Conrad, S., & Reppen, R. (1998). Corpus linguistics: Investigating language structure and use. Cambridge: Cambridge University Press.

    Biber, D., Johansson, S., Leech, G., Conrad, S. & Finegan E. (1999). Longman grammar of spoken and written English. London: Longman.

    Biber, D., Conrad, S., Reppen, R., Byrd, P., & Helt, M. (2002). Speaking and writing in the university: A multidimensional comparison. TESOL Quarterly, 36(1), 9-48. doi:10.2307/3588359

    Biber, D., Csomay, E., Jones, J. K., & Keck, C. (2004). A corpus linguistic investigation of vocabulary-based discourse units in university registers. In U. Connor & T. A. Upton (Eds.), Applied corpus linguistics: A multidimensional perspective (pp. 53-72). Amsterdam: Rodopi.

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