2015
DOI: 10.1515/jlt-2015-0003
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Revisiting Style, a Key Concept in Literary Studies

Abstract: Language and literary studies have studied style for centuries, and even since the advent of ›stylistics‹ as a discipline at the beginning of the twentieth century, definitions of ›style‹ have varied heavily across time, space and fields. Today, with increasingly large collections of literary texts being made available in digital form, computational approaches to literary style are proliferating. New methods from disciplines such as corpus linguistics and computer science are being adopted and adapted in inter… Show more

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Cited by 23 publications
(5 citation statements)
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References 19 publications
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“…60 E munkának további kutatási iránya lehet a stílus fogalmának, értelmezési kereteinek a továbbgondolása, amely az új módszertannak köszönhetően is formálódik. 61 A digitális korpusz és a szótár segítségével, valamint az informatikai támogatású elemzőmódszerek alkalmazásával lehetőség nyílik nagyobb léptékű vizsgálatok elvégzésére a jövőben. Egyúttal ez azt is jelenti, hogy a digitális szótárakkal szembeni elvárásokat, feladatokat is revideálnunk kell.…”
Section: Kísérletek a Mikes-korpuszonunclassified
“…60 E munkának további kutatási iránya lehet a stílus fogalmának, értelmezési kereteinek a továbbgondolása, amely az új módszertannak köszönhetően is formálódik. 61 A digitális korpusz és a szótár segítségével, valamint az informatikai támogatású elemzőmódszerek alkalmazásával lehetőség nyílik nagyobb léptékű vizsgálatok elvégzésére a jövőben. Egyúttal ez azt is jelenti, hogy a digitális szótárakkal szembeni elvárásokat, feladatokat is revideálnunk kell.…”
Section: Kísérletek a Mikes-korpuszonunclassified
“…Although there are many ways to operationally define films' prototypicality or averageness within genres, we focused on simple quantitative measures of semantic (the setting, emotions, and action of a narrative) and syntactic (function word usage within the narrative; Altman, 1984) narrative arc typicality within hand-coded basic-level genres. The use of automated text analysis in the behavioral and computer sciences has rapidly gained momentum in the last decade (Herrmann, van Dalen-Oskam, & Schöch, 2015;Iliev, Dehghani, & Sagi, 2015); however, only a few studies have analyzed narrative or fictional samples with the aim of testing psychological hypotheses (e.g., Berger & Packard, 2018;Danescu-Niculescu-Mizil & Lee, 2011;Iliev, Hoover, Dehghani, & Axelrod, 2016). In the present study, we first analyzed dramatic movie scripts using dictionary-based computerized text analysis and then used profile correlations to assess whether genre-typical arcs in several language dimensions from narrative arc theory (categorization, narrative action, and cognitive processing, as well as negative and positive emotional language; Blackburn, 2015;Malin et al, 2014;Nalabandian et al, 2018) differentially predict audience and critic ratings.…”
Section: Hypothesesmentioning
confidence: 99%
“…Therefore, mastering to recognize literature turns critical. The reason is that the message conveyed in the literary artwork has a further price compared to the message in non-literary work without a doubt is introduced truly [2]. That greater charge may be instilled thru outstanding training in studying decided on literary works actually, not just analyzing literary quotations.…”
Section: Introductionmentioning
confidence: 99%