The research is a contemporary stylistic study of the text that expresses the psychological
meanings in Nahj Al-Balaghah.
The research is divided to three chapters.
The first chapter : characteristics of psychological text.
It is about the power to influence the addressee ,that is to say ,the text influence power
connects with vulnerability and emotions inside the addressee spirit and his response to
violent effects shaking his feelings and that is represented in outbreaking of words vitality and
homogeneously. The Imam's wrath , grief , love to rightness , hatred of falsehood and
deviation from Islam arouses the words and emotions through :
1. Reduction in words and expansion in meaning by means of inspiration of the intentional
meaning.
2. Consistency and coherence: illustrates the connection between words and forms of
consistency.
3. Homogeneity between the components of the sentence to illustrate the closeness and
attachment of words by formatives and grammatical links.
4. Script overlap between The Holy Quran and Nahj Al-Balaghah in those texts.
The second chapter : coherence in The Holy Quran text whether among It's words or phrases .
The most important links are : conjunctions , conductive names , linking by meaning change ,
linking by pronouns , linking by demonstrative pronouns and linking by repetition.
The third chapter : structural phenomena in psychological text which consist : elaboration and
detailing in meaning or structural expansion of the the sentences , repetition , sequence ,
diversification in syntax composition , conformity and violation. All these phenomena are
common in the texts of Nahj Al-Balaghah.
This study presents certain modifications done to the conditions set by Searle
(1969: 57) concerning the speech act of promising in order to render them to selected
sayings of Prophet Muhammad (P.B.U.H.) and Jesus Christ (P.B.U.H.) and to
political texts. These modifications make the conditions of the speech act of
promising appropriate for sincere promises made by the Messengers of God since
they deliver their Messages of God but they are unable, as Messengers, to fulfill
God’s promises which they make as part of their Messages and by representatives of
States who deliver speeches on behalf of their Governments. These are the only two
situations where the speakers can make promises and do not fulfill these prom
Thsst researcher problem of delays faced by researchers are all waiting to evaluate their standards by the experts who must take their views to extract the truth Virtual important step first step in building standards whatsoever, then the difference of opinion among experts about the paragraphs Whatever the scope of their functions, leading to confusion in maintaining these paragraphs or delete? Or ignore the views and opinion of the researcher to maintain the same? Or as agreed upon with the supervisor if he was a student? Especially if the concepts of a modern new building.
Therefore, the researcher sought to try to find a solution to her problem to conduct an experiment to test building steps
رمي البحث الحالي الى تعّرق أثر أنموذج فراير في اکتساب المفاهيم البلاغية عند طالبات الصف الخامس الادبي في مادة البلاغة. ووضع الباحثون الفرضية الصفرية الآتية: "ليس هناک فرق ذو دلالة احصائية عند مستوى (0.05) بين متوسط ودرجات طالبات المجموعة التجريبية اللواتي يدرسن مادة البلاغة بانموذج فراير، ومتوسط درجات طالبات المجموعة الضابطة اللواتي يدرسن المادة نفسها بالطريقة التقليدية (القياسية) في الاختيار البعدي لا کتسا
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The speech recognition system has been widely used by many researchers using different
methods to fulfill a fast and accurate system. Speech signal recognition is a typical
classification problem, which generally includes two main parts: feature extraction and
classification. In this paper, a new approach to achieve speech recognition task is proposed by
using transformation techniques for feature extraction methods; namely, slantlet transform
(SLT), discrete wavelet transforms (DWT) type Daubechies Db1 and Db4. Furthermore, a
modified artificial neural network (ANN) with dynamic time warping (DTW) algorithm is
developed to train a speech recognition system to be used for classification and recognition
purposes. T
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A 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
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