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Application of Multivariate Methods in the Investigation of Literary Style: The Phantom of the Opera
WU Xiao-fei, HU Dan
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DOI:10.17265/2159-5836/2020.03.001
School of Foreign Studies, Zhongnan University of Economics and Law, Wuhan 430073, China
This study attempts to construct a comprehensive and multivariate quantitative investigation path of literary style, and verify the applicability of the path with the English text of The Phantom of the Opera. Relevant variables include text interactivity, pointed clarity, standardized type-token ratio, moving-average type-token ratio, entropy and relative repeat rate. The verified investigation not only supports the applicability of the path, but also establishes the style of The Phantom of the Opera with high colloquialism and small vocabulary change in various aspects.
multivariate analysis, corpus, literary style, The Phantom of the Opera
Baker, W., & Eggington, W. G. (1999). Eggington. Bilingual creativity, multidimensional analysis, and world Englishes. World Englishes, (3).
Biber, D. (1988). Variation across speech and writing. Cambridge: Cambridge University Press.
Biber, D. (2011). Corpus linguistics and the study of literature: Back to the future?. Scientific Study of Literature, (11).
Biber, D. et al. (2002). Speaking and writing in the university: A multidimensional comparison. TESOL Quarterly, 2002, (1).
Biber,D., & Finegan, E. (1989). Drift and the evolution of English style: A history of three genres. Language, (3).
Chafe, W. (1982). Integration and involvement in speaking, writing, and oral literatur. In Tannen, D. (Ed), In spoken and written language: Exploring orality and literacy. Norwood, NJ: Ablex.
Covington, M. A., & McFall, J. D. (2010). Cutting the Gordian knot: The moving-average type-token ratio. Journal of Quantitative Linguistics, (2).
Egbert, J. (2012). Style in nineteenth century fiction: A multi-dimensional analysis. Scientific Study of Literature, (2).
Kubát, M., & Cech, R. (2016a). Thematic concentration and vocabulary richness. In E. Kelih (Ed), Issues in quantitative linguistics 4. Lüdenscheid: RAM-Verlag.
Kubát, M., & Cech, R. (2016b). Quantitative analysis of US presidential inagural addresses. Glottometrics, (34).
Liu, H. T. (2012). Econometrics: A scientific approach to language research. Guangming Daily, 02-15.
Liu, H. T. (2015). Linguistic econometric research in the era of big data. Journal of Shanxi University (Philosophy and Social Science Edition), (2).
Liu, H. T., & Pan, X. X. (2015). Quantitative features of Chinese new poems. Journal of Shanxi University (Philosophy and Social Science Edition), (2).
Lu, W. Z., & Xia, Y. (2010). Corpus stylistics: A new approach to the study of literary stylistics. Foreign Languages, (1).
Mahlberg, M. (2007). Clusters, key clusters and local textual functions in Dickens. Corpora, (1).
McIntosh, P. (1967). An indicator of diversity and the relation of certain concepts to diversity. Ecology, (3).
Milic, L. (1982). The annals of computing: Stylistics. Computers and the Humanities, (1).
Milicka, J. MaWaTaTaRaD[OL]. (2017). Retrieved from http://milicka.cz /en/mawatatarad/.
Nini, A. (2017). Multidimensional analysis tagger 1. 1-Manual[OL]. Retrieved from: http://sites.google.com/ site / multi-dimensionaltagger.
O’Donnell, C. (1974). Syntactic differences between speech and writing. American Speech, (1/2).
Olson, D. (1977). From utterance to text: The bias of language in speech and writing. Harvard Educational Review, (3).
Popescu, I., Cech, R., & Altmann, G. (2011). The Lambdastructure of texts. Lüdenscheid: RAM-Verlag.
Ren, Y., Chen, J. S., & Ding, J. (2013). Word clusters in English gothic novels: A corpus-based study of literary stylistics. Journal of PLA University of Foreign Languages, (5).
Sandulescu, C. et al. (2014). Quantifying Joyce’s Finnegans Wake. Glottometrics, (30).
Smith, A., & Kelly, C. (2002). Stylistic constancy and changes across literary corpora: Using measures of lexical richness to date works. Computers and the Humanities, (4).