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INVESTIGATING THE APPLICABILITY MAGNITUDE OF THE LEECH'S MODEL OF STYLISTICS ON DYLAN THOMAS'S POEM "DO NOT GO GENTLE INTO THAT GOOD NIGHT"
Author(s) -
Abd-AL-Hameed Mustafa Mahmoud Jabsheh
Publication year - 2022
Publication title -
european journal of literature, language and linguistics studies
Language(s) - English
Resource type - Journals
ISSN - 2559-7914
DOI - 10.46827/ejlll.v5i4.318
Subject(s) - foregrounding , poetry , leech , credibility , meaning (existential) , literature , stylistics , cohesion (chemistry) , psychology , linguistics , art , computer science , philosophy , epistemology , world wide web , chemistry , organic chemistry
The aim of this study was to investigate the applicability magnitude of Leech's model of stylistics on Dylan Thomas's poem "Do Not Go Gentle into That Good Night", and by the same token to investigate its credibility to uncover additional layers of the meaning and message of this poem. To achieve the aim of this study, the researcher followed a qualitative analytical methodology which was applied on the available related literature, but in a survey-like orientation, and, in addition, a discretionary application, by the researcher, to the three maxims (cohesion, foregrounding, and cohesion of foregrounding) of the Leech's model of stylistics on Dylan Thomas's poem "Do Not Go Gentle into That Good Night". Findings of this study have confirmed the applicability, suitability, and credibility of Leech's model of stylistics to Dylan Thomas's poem "Do Not Go Gentle into That Good Night", and that this application resulted in a wider magnitude to interpret the poem as well as a tighter grasp of its universal meaning and touching message. Conclusions of this study have highlighted the credibility of Leech's model of stylistics to reveal the pragmatic facets of the message that a given author of a literary text is trying, consciously or sub-consciously, to communicate with the readers or recipients. As a result, this study came up with a set of related recommendations and conclusions.   Article visualizations:

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