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A Cognitive Stylistic Analysis of Selected Poems of Abba Gana Shettima

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  • Dr Muhammad Aliyu SAJO

    (Department of English and Literary Studies, Usmanu Danfodiyo University, Sokoto, Nigeria)

  • Dr Armiya’u Malami Yabo

    (Department of Academic Services, National Teachers’ Institute, Kaduna, Nigeria)

Abstract

Interpretation of poetry has been very challenging to its readers especially students of language (Regis, 2013, p.1). Cognitive stylistics is an approach to the study of texts which entails the application of theories and concepts in cognitive linguistics to enhance the understanding of poetry which compresses information in few words. Therefore, cognitive stylistics “focuses on hypothesising how the reading process facilitates the interpretation of texts†(Jeffries & Mclntyre, 2010, p.126). The aim of this paper is to conduct a cognitive stylistic analysis of two selected Nigerian poems in order to highlight how cognitive stylistic features are calibrated in the texts to construct meaning. The objectives are to: (i) identify the types of cognitive stylistic features in the poems; and (ii) determine how cognitive stylistic concepts enhance the understanding of the poems. Among the findings of the study were that 22 cognitive stylistic features were identified in the two texts studied. The study employed descriptive and analytical methods through identification, description and interpretation of the data from the selected texts. The study concluded that cognitive stylistics is effective in the study and interpretation of poetry hence, it could be used in the study and teaching of poetry to enhance better understanding and appreciation of poetic texts.

Suggested Citation

  • Dr Muhammad Aliyu SAJO & Dr Armiya’u Malami Yabo, 2022. "A Cognitive Stylistic Analysis of Selected Poems of Abba Gana Shettima," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(10), pages 593-598, October.
    • Handle: RePEc:bcp:journl:v:6:y:2022:i:10:p:593-598
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