[
Anthony, L. (2022). AntConc (Version 4.2.0) [Computer Software]. Tokyo, Japan. Waseda University. Accessible at: https://www.laurenceanthony.net/software.
]Search in Google Scholar
[
Brezina, V. (2018). Statistics for Corpus Linguistics. Cambridge: Cambridge University Press, 314 p.
]Search in Google Scholar
[
Cantos Gomez, P. (2013). Statistical Methods in Language and Linguistic Research. London: Equinox, 256 p.
]Search in Google Scholar
[
Crosthwaite, P., and Baisa, V. (2023). Generative AI and the end of corpus-assisted data-driven learning? Not so fast! Applied Corpus Linguistics, 3(3). Accessible at: https://doi.org/10.1016/j.acorp.2023.100066.
]Search in Google Scholar
[
Desagulier, G. (2017). Corpus Linguistics and Statistics with R. Introduction to Quantitative Methods in Linguistics. Berlin: Springer, 366 p.
]Search in Google Scholar
[
Dunne, J. (2022). Natural Language Processing for Corpus Linguistics (Elements in Corpus Linguistics). Cambridge: Cambridge University Press, 96 p.
]Search in Google Scholar
[
Gries, S. (2013). Statistics for Linguistics with R. Berlin: De Gruyter, 374 p.
]Search in Google Scholar
[
Hirschberg, J., and Manning, Ch. (2015). Advances in natural language processing. Science, 349(6245), pages 261–266.
]Search in Google Scholar
[
Hyland, K. (2023). Academic publishing and the attention economy. Journal of English for Academic Purposes, 64. Accessible at: https://doi.org/10.1016/j.jeap.2023.101253.
]Search in Google Scholar
[
Jurafsky, D., and Martin, J. (2023). Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. (Third edition e-book: draft of January 7, 2023). Accessible at: https://web.stanford.edu/~jurafsky/slp3/ed3book.pdf. (accessed on 19 July 2023).
]Search in Google Scholar
[
Kilgarriff, A., Baisa, V., Bušta, J., Jakubícek, M., Kovář, V., Michelfeit, J., Rychlý, P., and Suchomel, V. (2014). The Sketch Engine: ten years on. Lexicography, 1(1), pages 7–36.
]Search in Google Scholar
[
Levshina, N. (2015). How to do Linguistics with R: Data exploration and statistical analysis. Amsterdam: John Benjamins, 454 p.
]Search in Google Scholar
[
Lew, R. (2023, June 12). ChatGPT as a COBUILD lexicographer. Accessible at: https://doi.org/10.31219/osf.io/t9mbu.
]Search in Google Scholar
[
McEnery, T., and Wilson, A. (1996). Corpus Linguistics. Edinburgh: University Press, 256 p.
]Search in Google Scholar
[
Navarro, D. (2015). Learning Statistics with R: A tutorial for psychology students and other beginners. (Version 0.6), 599 p. Sydney. University of New South Wales. Accessible at: http://compcogscisydney.org/learning-statistics-with-r/.
]Search in Google Scholar
[
NCES. (n.d.). Volume of data/information created, captured, copied, and consumed worldwide from 2010 to 2020, with forecasts from 2021 to 2025 (in zettabytes). In Statista - The Statistics Portal. Accessible at: https://www.statista.com/statistics/871513/worldwide-data-created/.
]Search in Google Scholar
[
Ooi, V. (1998). Computer Corpus Lexicography. Edinburgh: University Press, 224 p.
]Search in Google Scholar
[
Scott, M. (2022). WordSmith Tools version 8 (64 bit version) Stroud: Lexical Analysis Software.
]Search in Google Scholar
[
Winter, B. (2019). Statistics for Linguists: An Introduction Using R. London: Routledge, 310 p.
]Search in Google Scholar
[
Woźniak, M., Wołos, A., Modrzyk, U., Górski, R. L., Winkowski, J., Bajczyk, M., Szymkuć, S., Grzybowski, B., and Eder, M. (2018). Linguistic measures of chemical diversity and the ‘keywords’ of molecular collections. Scientific Reports, 8(1), page 7598.
]Search in Google Scholar
