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References
  • Biber, D. & Barbieri, F. (2007) Lexical bundles in university spoken and written registers. English for Specific Purposes, 26 (2007) 263–286
  • Bodnaruk, A., Loughran, T., & McDonald, B. (2015). Using 10-K Text to Gauge Financial Constraints. Journal of Financial & Quantitative Analysis, 50(4), 623-646.
  • Coxhead, A. (2000). A new academic word list. TESOL Quarterly, 34(2), 213-238.
  • GI. (2000). General Inquirer URL: http://www.wjh.harvard.edu/~inquirer/homecat.htm.
  • Hoey, M. (1991). Patterns of Lexis in Text. Oxford University Press.
  • Jeaco, S. (2020a). Key words when text forms the unit of study: Sizing up the effects of different measures. International Journal of Corpus Linguistics, 25(2), 125-154.
  • Jeaco, S. (2020b). Calculating and Displaying Key Labels: The texts, sections, authors and neighbourhoods where words and collocations are likely to be prominent. Corpora, 15(2).
  • Mohammad, S. M., & Turney, P. D. (2012). Crowdsourcing a word–emotion association lexicon. Computational Intelligence, 59.
  • Nation, I.S.P. (2017). The BNC/COCA Level 1-34 word family lists [Data file].
  • Rayson, P., Archer, D., Piao, S., & McEnery, T. (2004, 25 May 2004). The UCREL semantic analysis system. Beyond Named Entity Recognition Semantic Labeling for NLP Tasks Workshop, Lisbon, Portugal.
  • Semino, E., & Short, M. H. (2004). Corpus stylistics : speech, writing and thought presentation in a corpus of English writing. Abingdon : Routledge, 2004.

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