A stylometric investigation across genders and individual authors based on a specialized Vietnamese corpus
DOI:
https://doi.org/10.14738/assrj.811.11193Abstract
Recently, there has been renewed interest in stylometry, a branch of forensic linguistics evaluating linguistic features which affect an author’s writing style. However, no known empirical research has attempted to explore relationships between word-level features in Vietnamese texts and writing style, both across genders and individual authors. Using two series of correspondence analysis, the current study thus seeks to analyze the most significant linguistic features across genders and individual authors based on a rich-annotated specialized Vietnamese corpus. In terms of genders, the most significant associations on writing style were identified for the combination of personal pronouns and negative words, whereas the seperated feature sets have less discriminating ability. For individual authors, negation words demonstrate their significant associations, and personal pronouns again have insignificant relationships with individual writing style. As a result of these investigations, suggestions were identified for future research.
References
Koppel, Moshe, Schler, Jonathan and Argamon, Shlomo. ‘Computational Methods in Authorship Attribution,’ Journal of the Association for Information Science and Technology. vol. 60, no. 1 (January 2009), pp. 9–26, https://doi.org/10.1002/asi.v60:1.
Barlow, Michael. ‘Individual differences and usage-based grammar’. International Journal of Corpus Linguistics 18:4 (2013), pp. 443–478, DOI 10.1075/ijcl.18.4.01bar, E-ISSN 1569–9811. John Benjamins Publishing Company.
Juola, Patrick, Noecker Jr, John and Ryan, Michael. “Authorship Attribution and Optical Character Recognition Errors”, TAL, vol. 53, no. 3 (2012), pp. 101–127.
Savoy, Jacques. Machine Learning Methods for Stylometry, Springer Nature Switzerland AG. 2020. https://doi.org/10.1007/978-3-030-53360-1
Grieve, Jack. 2007. Quantitative authorship attribution: An evaluation of techniques. Literary and Linguistic Computing 22(3). 251–270.
Brezina, Vaclav. Statistics in Corpus Linguistics: A Practical Guide. Cambridge: Cambridge University Press, 2018.
Deschamps, Ryan. ‘Correspondence Analysis for Historical Research with R,’ The Programming Historian 6 (2017), https://programminghistorian.org. Accessed 10 October 2021.
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