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The Phonological and Suggestive Rhythm in the Context of the Quranic Text: The Phonological and Suggestive Rhythm in the Context of the Quranic Text
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Abstract
The perpetuity of the Quranic discourse required being suitable for all ages.
Accordingly, the method of the Glorious Quran a pre request for the conscious
investigation and realization in order to detect the core of the texts, as the Quranic
discourse is considered a general address for the humanity as a whole. For this
reason, the progress of the concerned studies neceiated that it should cope with the
current development in the age requirements and its cultural changes within ages.
The texts of the Glorious Quran lightened the human reason as being the
Creator’s miracle for it is characterized by certain merits that makes it different from

poetry and prose. It is a unique texture in its rhetoric and composition. So, the
modern studies in reading the Quranic text, there is specific spectacle, but there must
be an analytical reading for its texts and investigating its components to reach to the
variety in its meanings and significations of its Quranic words.
The language of the discourse or the architecture of the text and its geometry
depend on its textual construction composed of a group of different, topics and
styles. The latter has suggestive significations preparing the shades of meanings
while it is in fact hidden and becomes apparent by the context and its situation.
There are certain utterances that draw the picture of the text not by its decadness
but by its shades and special suggestions that cannot be felt only by the expert.
For this reasons, the present study came as an attempt to detect and show the
aesthetics of the Quranic text, its miraculous geometry and its expressive and
performing power representing the rhythmic and phonological side. The latter is quite
apparent in the Quranic structure of every sura. Beside, it is a study that investigates
the internal movement of the rhythm and suggestion of the utterances themselves.

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Keywords: Using Markov chains

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