نتایج جستجو برای: Linguistic Means (Rhetorical Figures)
تعداد نتایج: 441293 فیلتر نتایج به سال:
this study was a contrastive analysis of the evolution of english and persian advertising slogans to investigate their similarities/differences in using rhetorical figures, and the evolution in the use of these figures in the slogans of each language. thus, 800 persian and english slogans from the last four decades were collected. lapsanka's framework (2006) including different aspects with som...
Rhetorical figures, which are frequently applied in advertisements, can add literary flavor to the texts, gratify audiences’ aesthetic needs, and deepen their impression. In advertisement translation, it is very common that the rhetorical figures applied in the original text are replaced with new ones in the translation. This research focuses on rhetorical figures’ function of enhancing audienc...
rhetorical figures, which are frequently applied in advertisements, can add literary flavor to the texts, gratify audiences’ aesthetic needs, and deepen their impression. in advertisement translation, it is very common that the rhetorical figures applied in the original text are replaced with new ones in the translation. this research focuses on rhetorical figures’ function of enhancing audienc...
This study was a contrastive analysis of the evolution of English and Persian advertising slogans to investigate their similarities/differences in using rhetorical figures, and the evolution in the use of these figures in the slogans of each language. Thus, 800 Persian and English slogans from the last four decades were collected. Lapsanka's framework (2006) including different aspects with som...
abstract the present study is concerned with the syntactic deviation in hafezs poetry. poems are known to be accompanied with various linguistic deviations. these deviations may be phonological, morphological and/or syntactic. the relatively high frequency of the cases of the syntactic deviation in hafezs poems makes this rhetorical feature as a main characteristic of his poetry. this thesis, ...
The paper presents RetFig, a formal domain ontology of rhetorical figures for Serbian. This ontology is one of the necessary steps in developing tools for Natural Language Processing in the Serbian language, especially for tools pertinent to discourse analysis, sentiment analysis and opinion mining. The RetFig ontology was developed taking into account a plethora of rhetorical figures in the mo...
Specialised languages such as the language of economics and politics are continuously undergoing dynamic development particularly in the area of lexis which is constantly evolving to reflect a rapidly changing society. A large part of specialised language is made up of rhetorical figures. Each specialised language has its own means of persuasion, its own rhetorical devices. This study examines ...
Linguistic annotation provides additional information asserted with a particular purpose in a document or other piece of information. It is widely used in various fields, from computing and bioinformatics, through imaging, to law and linguistics. There is also a clear distinction between what is communicated through the written/spoken natural language and how this is passed on. We are studying ...
The generalised, automated reconstruction of the reasoning structures underlying persuasive communication is an enormously challenging task. While this work in argument mining is increasingly informed by the rich tradition of argumentation studies outside the computational field, the rhetorical perspective on argumentation is thus far largely ignored. To explore the application of rhetorical in...
This paper surveys ontological modeling of rhetorical concepts, developed for use in argument mining and other applications of computational rhetoric, projecting their future directions. We include ontological models of argument schemes applying Rhetorical Structure Theory (RST); the RhetFig proposal for modeling; the related RetFig Ontology of Rhetorical Figures for Serbian (developed by two o...
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