Political speeches are represented in different shapes as political forum, events or as inaugural speech. This research critically analyzes the inaugural Speech of the President Donald Trump which was delivered on 20th ,January, 2017 from the site<www.cnn.com> retrieved on 10th ,May,2017. The objectives of the study are: First: classifying and discussing well known micro structures (linguistic feature) of the speech, and second: classifying the macro structures i.e. the delivered political inaugural speech in which he includes social structures. To reach to the objectives of the study, the researcher will adopt Norman Fairclough’s three dimensional Analytical Model(1989). Tracing the model, the speech was submitted to description (text analysis), interpretation (processing/ analysis) and explanation (social practice and analysis). The results of the analysis have shown that Trump uses colourful language devices to address Americans. He uses future tense in his speech more than the other tenses to talk about America's future. He creatively repeats certain expressions to show his point of view. The pronoun 'we' is used to talk about the state of America and to show a mutual correlation between Trump and the hearers. Moreover, Trump relays on active voice to get all the hearers active not passive, which reflects the social relations. However, in some instances, he uses passive voice to assure Americans that he will be with them
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This study falls within the core of the deliberative theory, as this research seeks to highlight the concept of dialogical imputation that is present in all the discourses received by the recipient, and that this is not limited to dialogues, and that is why it is called (deliberative imperative). This is in agreement with the deliberative and functional approach that sees literary discourse as a dialogical and fulfilling necessity, due to its attachment to artistic connotations and submerged meanings in the saying. The allotted obligation and its impact on determining the purposes: The specific implication represented an important axis of pragmatic research, and a major concern in the work of discourse analysis. Because of its great importa
... Show MoreA new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet decomposition (Haar and db4) at a suitable chosen level and ignored details coefficients, and then approximation coefficients are windowed by a rectangular window and fed to the linear predictor. Levinson Durbin algorithm is used to compute LP coefficients, reflection coefficients and predictor error. The compress files contain LP coefficients and previous sample. These files are very small in size compared to the size of the original signals. Compression ratio is calculated from the size of th
... Show MoreWith the narratives and sayings in the biography of the Prophet and the science of the Koran, Orientalists used this case as a pretext to distort the biography of the Prophet and his character and patience for his call. Researcher in the folds of his research.