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Article published In: Register Studies
Vol. 5:2 (2023) ► pp.171204

References (35)
References
Anthony, L. (2015). AntFileConverter (2.0.2) [Computer Software]. Tokyo, Japan: Waseda University.Google Scholar logo with link to Google Scholar
Aull, L. L.& Lancaster, Z. (2014). Linguistic markers of stance in early and advanced academic writing: A corpus-based comparison. Written communication, 31(2), 151–183.Google Scholar logo with link to Google Scholar
Berkenkotter, C.& Huckin, T. N. (1995). Genre knowledge in disciplinary communication. Cognition/Culture/Power. Hillsdale, N.J.: Lawrence Erlbaum.Google Scholar logo with link to Google Scholar
Biber, D. (1988). Variation across speech and writing. Cambridge: Cambridge UP. Google Scholar logo with link to Google Scholar
(2019). Multi-dimensional analysis: A historical synopsis. In Sardinha, T. B., & Pinto, M. V. (Eds.). (2019). Multi-dimensional analysis: Research methods and current issues. Bloomsbury Publishing. Google Scholar logo with link to Google Scholar
Biber, D., & Egbert, J. (2016). Register variation on the searchable web: A multi-dimensional analysis. Journal of English Linguistics, 44(2), 95–137. Google Scholar logo with link to Google Scholar
Biber, D., & Gray, B. (2010). Challenging stereotypes about academic writing: Complexity, elaboration, explicitness. Journal of English for Academic Purposes, 9(1), 2–20. Google Scholar logo with link to Google Scholar
Biber, D., Conrad, S., & Reppen, R. (1998). Corpus Linguistics: Investigating Language Structure and Use. Cambridge: Cambridge UP. Google Scholar logo with link to Google Scholar
Biber, D., Gray, B., & Poonpon, K. (2011). Should we use characteristics of conversation to measure grammatical complexity in l2 writing development? TESOL Quarterly, 45(1), 5–35. Google Scholar logo with link to Google Scholar
Braine, G. (1989). Writing in science and technology: An analysis of assignments from ten undergraduate courses. English for Specific Purposes, 8(1), 3–15. Google Scholar logo with link to Google Scholar
Biber, D. and Conrad, S. (2019). Register, genre, and style. Cambridge University Press. Google Scholar logo with link to Google Scholar
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1), 37–46.Google Scholar logo with link to Google Scholar
Cooper, A. and Bikowski, D. (2007). Writing at the graduate level: what tasks do professors actually require? Journal of English for Academic Purposes 6(3): 206–21. Google Scholar logo with link to Google Scholar
Egbert, J. (2015). Publication type and discipline variation in published academic writing. International Journal of Corpus Linguistics, 20(1), 1–29. Google Scholar logo with link to Google Scholar
(2019). Corpus design and representativeness. In Sardinha, T. B., & Pinto, M. V., (Eds.). Multi-dimensional analysis: Research methods and current issues, 27–42. Bloomsbury Publishing. Google Scholar logo with link to Google Scholar
Egbert, J., Biber, D., and Gray, B. (2022). Designing and evaluating language corpora: A practical framework for corpus representativeness. Cambridge: Cambridge University Press. Google Scholar logo with link to Google Scholar
Gardner, S. & Nesi, H. (2013). A classification of genre families in university student writing. Applied Linguistics 34(1), 25–52. Google Scholar logo with link to Google Scholar
Gardner, S., Nesi, H., & Biber, D. (2019). Discipline, level, genre: Integrating situational perspectives in a new MD analysis of university student writing. Applied Linguistics, 40(4), 646–674. Google Scholar logo with link to Google Scholar
Graves, R., Hyland, T., & Samuels, B. M. (2010). Undergraduate writing assignments: An analysis of syllabi at one Canadian college. Written Communication, 27(3), 293–317. Google Scholar logo with link to Google Scholar
(2019). Tagging and counting linguistic features for multi-dimensional analysis. In Sardinha, T. B., & Pinto, M. V. (Eds.). (2019). Multi-dimensional analysis: Research methods and current issues. Bloomsbury Publishing. Google Scholar logo with link to Google Scholar
Grieve, J., Biber, D., Friginal, E., & Nekrasova, T. (2011). Variation among blogs: A multi-dimensional analysis. In A. Mehler, Sharoff, S., & Santini, M. (Eds.) Genres on the web: Computational models and empirical studies, 303–322. New York: Springer.Google Scholar logo with link to Google Scholar
Hardy, J. A., & Römer, U. (2013). Revealing disciplinary variation in student writing: A multi-dimensional analysis of the Michigan Corpus of Upper-level Student Papers (MICUSP). Corpora, 8(2), 183–207. Google Scholar logo with link to Google Scholar
IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.Google Scholar logo with link to Google Scholar
Ives, L., Gokhale, J., Barott, W. C., & Perez, M. V. (2019). Sprinting Toward Genre Knowledge: Scaffolding Graduate Student Communication Through” Sprints” in Finance and Engineering Courses. Across the Disciplines, 16(2), 16. Google Scholar logo with link to Google Scholar
Jackson, L., Meyer, W. and Parkinson, J. (2006). A study of the writing tasks and reading assigned to undergraduate science students at a South African University. English for Specific Purposes 25(3): 260–81. Google Scholar logo with link to Google Scholar
LaFrance, M., & Corbett, S. J. (2020). Discourse community fail! Negotiating choices in success/failure and graduate-level writing development. In M. Brooks-Gillies, Garcia, E. G., Kim, S. H., Manthey, K., and Smith, T. G. (Eds.) Graduate Writing Across the Disciplines: Identifying, Teaching, Supporting: 295–314. Google Scholar logo with link to Google Scholar
Nesi, H., & Gardner, S. (2012). Genres across the disciplines: Student writing in higher education. Cambridge, England: Cambridge University Press. Google Scholar logo with link to Google Scholar
O’Donnell, M. B., & Römer, U. (2012). From student hard drive to web corpus (part 2): The annotation and online distribution of the Michigan Corpus of Upper-level Student Papers (MICUSP). Corpora, 7(1), 1–18. Google Scholar logo with link to Google Scholar
Plonsky, L.& Oswald, F. L. (2014). How big is “big”? Interpreting effect sizes in L2 research. Language learning, 64(4), 878–912.Google Scholar logo with link to Google Scholar
Römer, U., & O’Donnell, M. B. (2011). From student hard drive to web corpus (part 1): the design, compilation and genre classification of the Michigan Corpus of Upper-level Student Papers (MICUSP). Corpora, 6(2), 159–177. Google Scholar logo with link to Google Scholar
Thompson, P. & Gray, B. (2022). Motivation, development, and application of a revised framework for semantic categories of content words in corpus-based academic writing research. American Association for Applied Linguistics annual conference. Pittsburgh, PA.
Thompson, P., Hunston, S., Murakami, A. & Vajn, D. (2017). Multi-dimensional analysis, text constellations, and interdisciplinary discourse. International Journal of Corpus Linguistics, 22(2), 153–186.Google Scholar logo with link to Google Scholar
Zhu, W. (2004). Writing in business courses: an analysis of assignment types, their characteristics, and required skills. English for Specific Purposes 23(2): 111–35. Google Scholar logo with link to Google Scholar
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