Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
WAYS OF EXPRESSING PROBABILITY IN ENGLISH IN THRILLER AND PSYCHOLOGICAL GENRES
Form of presentationRussian monographs
Year of publication2023
Языкрусский
  • Bibik Elena Aleksandrovna, author
  • Valiullina Farida Mansurovna, author
  • Mukhtarova Rezeda Yolyzovna, author
  • Pavlova Yuliya Igorevna, author
  • Bibliographic description in the original language Yuliya Igorevna Pavlova, Rezeda Yoldyzovna Mukhtarova , Elena Aleksandrovna Bibik, Farida Mansurovna Valiullina, Alfiia Abrikovna Iarkhamova Ways of Expressing Probability in English in Thriller and Psychological Genres/ Proceedings of the 3rd International Conference on Research in Applied Linguistics (ICRAL).-- October 30, 2023 ? 2023 – Published by Shahid Chamran University of Ahvaz- p.417-420
    Annotation This article focuses on how probability is expressed in the English psychological thriller genre. Specifically, it exposes the core and periphery of the functional-semantic field of probability in English, drawing on the work «Cari Mora« by Harris (2019). There are three levels to the functionality of a text: epistemic, deontonic, and dynamic. One of the primary modalities that determines this functionality is the modality of probability. It is argued that lexico-semantic, lexicogrammatical, syntactic, stylistic, and graphic means, with a preference for stylistic means, represent the core and the periphery of the functional-semantic field of probability at the explicit and implicit levels. The authors of the article examine the aforementioned levels of modality in relation to the lexical and stylistic characteristics of the English psychological thriller genre. The study's findings show that this fiction genre's language employs probability/improbability semantics on various levels to more accurately portray the protagonists' rational thoughts, emotions, and desires in addition to drawing the reader into a tense situation.
    Keywords English Language; Psychological Thriller
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=291918&p_lang=2
    Resource files 
    File name Size (MB) Format  
    F_ICRAL_2023_Paper_No_84.pdf 0,23 pdf show / download

    Full metadata record