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jcois-1674
Linguistic deposits in the Arabic language
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Abstract of the research:

     This research sheds light on an important phenomenon in our Arabic language, which is linguistic sediments, and by which we mean a group of vocabulary that falls out of use and that native speakers no longer use it, and at the same time it happens that few individuals preserve the phenomenon and use it in their lives, and it is one of the most important phenomena that  It should be undertaken and studied by researchers;  Because it is at the heart of our huge linguistic heritage, as colloquial Arabic dialects retain a lot of linguistic sediments, and we usually find them at all levels of language: phonetic, banking, grammatical and semantic.  In the second requirement, I dealt with the nature of the terms linguistic sediments and linguistic stagnants. As for the third axis, I dealt with examples of linguistic sediments contained in the Arabic language.  It is not considered a departure from the rule, as some Arab scholars have said, but rather it is a stage of its development.

Key words:

- Terminology for subject of the study: rooting and etymology

- The nature of linguistic residues

- Examples of destroyed sediment in the Arabic language

 

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Publication Date
Sun Sep 01 2019
Journal Name
مجلة كلية العلوم الاسلامية جامعة بغداد
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Thu Dec 30 2021
Journal Name
Al-kindy College Medical Journal
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Publication Date
Sat Oct 26 2024
Journal Name
Zac Conference Series: Social Sciences And Humanities
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Publication Date
Tue Jul 20 2021
Journal Name
Materials Science Forum
Red Laser Irradiation Effect on the Structural Properties of MawsoniteCu<sub>6</sub>Fe<sub>2</sub>SnS<sub>8</sub> [CFTS] Thin Films Deposited via Semi-Computerized Spray Pyrolysis Technique
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Publication Date
Sat May 01 2021
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Publication Date
Wed May 10 2023
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Publication Date
Sun Aug 30 2020
Journal Name
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Publication Date
Tue Mar 30 2021
Journal Name
Baghdad Science Journal
Approximate Analytical Solutions of Bright Optical Soliton for Nonlinear Schrödinger Equation of Power Law Nonlinearity
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This paper introduces the Multistep Modified Reduced Differential Transform Method (MMRDTM). It is applied to approximate the solution for Nonlinear Schrodinger Equations (NLSEs) of power law nonlinearity. The proposed method has some advantages. An analytical approximation can be generated in a fast converging series by applying the proposed approach. On top of that, the number of computed terms is also significantly reduced. Compared to the RDTM, the nonlinear term in this method is replaced by related Adomian polynomials prior to the implementation of a multistep approach. As a consequence, only a smaller number of NLSE computed terms are required in the attained approximation. Moreover, the approximation also converges rapidly over a

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