Article published in:
Register Studies
Vol. 3:1 (2021) ► pp. 88114
References
Archer, D., Wilson, A., & Rayson, P.
(2002) Introduction to the USAS category system. Retrieved from http://​ucrel​.lancs​.ac​.uk​/usas​/usas​_guide​.pdf.
Baker, P.
(2009) The question is, how cruel is it? Keywords, fox hunting and the house of commons. In D. Archer (Ed.), What’s in a word-List?: Investigating word frequency and key word extraction (pp. 125–136). Aldershot: Ashgate. Google Scholar
Biber, D.
(1988) Variation across speech and writing. Cambridge: Cambridge University Press. CrossrefGoogle Scholar
Biber, D., Conrad, S., & Reppen, R.
(1998) Corpus linguistics: Investigating language structure and use. Cambridge: Cambridge University Press. CrossrefGoogle Scholar
Bigi, B., Brun, A., Haton, J. P., Smaïli, K., & Zitouni, I.
(2001) A comparative study of topic identification on newspaper and e-mail. Proceedings of the 8th International Symposium on String Processing and Information Retrieval (pp. 238–241). Retrieved from https://​hal​.inria​.fr​/inria​-00107535​/document. Crossref
Blaxter, T. T.
(2014) Applying keyword analysis to gendered language in the Íslendingasögur. Nordic Journal of Linguistics, 37(2), 169–198. CrossrefGoogle Scholar
Camiciottoli, B. C.
(2016) “All those Elvis-meets-golf-player looks”: A corpus-assisted analysis of creative compounds in fashion blogging. Discourse, Context & Media, 121, 77–86. CrossrefGoogle Scholar
Cochran, W. G.
(1977) Sampling techniques (3rd Ed.). New York: John Wiley & Sons. Google Scholar
Cselle, G., Albrecht, K., & Wattenhofer, R.
(2007) Buzztrack: Topic detection and tracking in email. Proceedings of the 12th International Conference on Intelligent User Interfaces (pp. 190–197). CrossrefGoogle Scholar
Culpeper, J.
(2009) Keyness: Words, parts-of-speech and semantic categories in the character-talk of Shakespeare’s Romeo and Juliet. International Journal of Corpus Linguistics, 14(1), 29–59. CrossrefGoogle Scholar
Ferret, O., & Grau, B.
(2000) A topic segmentation of texts based on semantic domains. Proceedings of the 14th European Conference on Artificial Intelligence (pp. 426–430). IOS Press. Google Scholar
Gabrielatos, C., & Marchi, A.
(2012) Keyness: appropriate metrics and practical issues. Critical Approaches to Discourse Studies. Bologna. Retrieved from http://​repository​.edgehill​.ac​.uk​/4196​/1​/Gabrielatos%26Marchi​-Keyness​-CADS2012​.pdf.
Gardner, D.
(2007) Validating the construct of word in applied corpus-based vocabulary research: A critical survey. Applied Linguistics, 28(2), 241–265. CrossrefGoogle Scholar
Geluso, J., & Hirch, R.
(2019) The reference corpus matters: Comparing the effect of different reference corpora on keyword analysis. Register Studies, 1(2), 209–242. CrossrefGoogle Scholar
Gerbig, A.
(2010) Key words and key phrases in a corpus of travel writing. In M. Bondi & M. Scott (Eds.), Keyness in texts (pp. 147–168). Amsterdam: John Benjamins. CrossrefGoogle Scholar
Gilmore, A., & Millar, N.
(2018) The language of civil engineering research articles: A corpus-based approach. English for Specific Purposes, 511, 1–17. CrossrefGoogle Scholar
Goh, G. Y.
(2011) Choosing a reference corpus for keyword calculation. Linguistic Research, 28(1), 239–256. CrossrefGoogle Scholar
Harvey, K., Churchill, D., Crawford, P., Brown, B., Mullany, L., Macfarlane, A., & McPherson, A.
(2008) Health communication and adolescents: What do their emails tell us?. Family Practice, 25(4), 304–311. CrossrefGoogle Scholar
Hyland, K.
(2004) Disciplinary discourses: Social interactions in academic writing. Ann Arbor, Michigan: University of Michigan Press. Google Scholar
Jones, C., Byrne, S., & Halenko, N.
(2018) Successful spoken English: Findings from learner corpora. London: Routledge. Google Scholar
Kilgarriff, A., & Berber Sardinha, T.
(2000) Proceedings of the Workshop on Comparing Corpora. Hong Kong. Google Scholar
Kotzé, E. F.
(2010) Author identification from opposing perspectives in forensic linguistics. Southern African Linguistics and Applied Language Studies, 28(2), 185–197. CrossrefGoogle Scholar
Loudermilk, B. C.
(2007) Occluded academic genres: An analysis of the MBA thought essay. Journal of English for Academic Purposes, 6(3), 190–205. CrossrefGoogle Scholar
Meier, H. E., Rose, A., & Hölzen, M.
(2017) Spirals of signification? A corpus linguistic analysis of the German doping discourse. Communication & Sport, 5(3), 352–373. CrossrefGoogle Scholar
Meltzer, E. O., Wallace, D., Dykewicz, M., & Shneyer, L.
(2016) Minimal clinically important difference (MCID) in allergic rhinitis: Agency for healthcare research and quality or anchor-based thresholds?. The Journal of Allergy and Clinical Immunology: In Practice, 4(4), 682–688. CrossrefGoogle Scholar
Nkechinyere, E. M., Andrew, I., & Idochi, O.
(2015) Comparison of different methods of outlier detection in univariate time series data. International Journal for Research in Mathematics and Statistics, 1(1), 55–83. Google Scholar
Paquot, M., & Bestgen, Y.
(2009) Distinctive words in academic writing: A comparison of three statistical tests for keyword extraction. Papers from the 29th International Conference on English Language Research on Computerized Corpora (ICAME 29) (pp. 247–269). Retrieved from http://​hdl​.handle​.net​/2078​.1​/76052. Crossref
Pojanapunya, P.
(2017) A theory of keywords. (Doctoral dissertation). Retrieved from https://​opac​.lib​.kmutt​.ac​.th​/vufind​/Record​/1370763.
Pojanapunya, P., & Watson Todd, R.
(2018) Log-likelihood and odds ratio: Keyness statistics for different purposes of keyword analysis. Corpus Linguistics and Linguistic Theory, 14(1), 133–167. CrossrefGoogle Scholar
Scharl, A., & Weichselbraun, A.
(2008) An automated approach to investigating the online media coverage of US presidential elections. Journal of Information Technology and Politics, 5(1), 121–132. CrossrefGoogle Scholar
Scott, M.
(1997) PC analysis of key words – and key key words. System, 25(2), 233–245. CrossrefGoogle Scholar
(2006) In search of a bad reference corpus. Paper presented at Word Frequency and Keyword Extraction: AHRC ICT Methods Network Expert Seminar on Linguistics., Lancaster University, UK. Retrieved from https://​citeseerx​.ist​.psu​.edu​/viewdoc​/download​?doi​=10​.1​.1​.167​.2638​&rep​=rep1​&type​=pdf.
Scott, M., & Tribble, C.
(2006) Textual patterns: Key words and corpus analysis in language education. Amsterdam: John Benjamins. CrossrefGoogle Scholar
Swales, J.
(1990) Genre analysis: English in academic and research settings. Cambridge: Cambridge University Press. Google Scholar
Willis, R.
(2017) Taming the climate? Corpus analysis of politicians’ speech on climate change. Environmental Politics, 26(2), 212–231. CrossrefGoogle Scholar
Xiao, Z., & McEnery, A.
(2005) Two approaches to genre analysis: Three genres in modern American English. Journal of English Linguistics, 33(1), 62–82. CrossrefGoogle Scholar