Review of Egbert, Biber & Gray (2022): Designing and Evaluating Language Corpora: A Practical Framework for Corpus Representativeness

References

1. Biber, D.
   (2012) Register as a predictor of linguistic variation. Corpus Linguistics and Linguistic Theory, 8(1), 9–37. 10.1515/cllt‑2012‑0002
   https://doi.org/10.1515/cllt-2012-0002 [Google Scholar]
2. Biber, D., Gray, B., Staples, S., & Egbert, J.
   (2020) Investigating grammatical complexity in L2 English writing research: Linguistic description versus predictive measurement. Journal of English for Academic Purposes, 461, 100869. 10.1016/j.jeap.2020.100869
   https://doi.org/10.1016/j.jeap.2020.100869 [Google Scholar]
3. Egbert, J., & Biber, D.
   (2018) Do all roads lead to Rome?: Modeling register variation with factor analysis and discriminant analysis. Corpus Linguistics and Linguistic Theory, 14(2), 233–273. 10.1515/cllt‑2016‑0016
   https://doi.org/10.1515/cllt-2016-0016 [Google Scholar]
4. Gray, B., & Biber, D.
   (2012) Current conceptions of stance. InK. Hyland & C. Sancho Guinda (Eds.), Stance and voice in written academic genres (pp.15–33). Palgrave Macmillan UK. 10.1057/9781137030825_2
   https://doi.org/10.1057/9781137030825_2 [Google Scholar]
5. König, A., Frey, J.-C., Stemle, E. W., Glaznieks, A., & Paquot, M.
   (2022) Towards standardizing LCR metadata. Conference paper presented atthe 6th Learner Corpus Research Conference, University of Padua, Padua.
   [Google Scholar]
6. Larsson, T., & Biber, D.
   Eds. (In preparation). Cumulative knowledge building in Learner Corpus Research.
   [Google Scholar]
7. Leech, G.
   (2006) New resources, or just better old ones ? The Holy Grail of representativeness. InN. Nesselhauf & C. Biewer (Eds.), Corpus linguistics and the web (pp.133–149). Brill.
   [Google Scholar]