الحمد لله رب العالمين والصلاة والسلام على نبينا محمد صلى الله عليه وآله وصحبه وسلم اجمين.

وبعد..

فان موضوع هذا البحث هو (اسرار المبالغة في صيغ المفردات في معجم العين) ، وقد جعلت موضوع المبالغة في معجم العين ؛ لان كتاب العين يعد باكورة التأليف المعجمي عند العرب ، والطريقة التي فتقها الخليل بن احمد الفراهيدي في هذا المعجم عند العرب عُدت من اكبر المدارس المعجمية في مضمار التأليف ال

برز في بداية القرن الماضي اهتمام الباحثين في بعض دول العالم بجمع ودراسة الارث الموسيقي لشعوبهم من خلال ما اكتشفوه من دور لهذه الدراسات في تحديد الهوية الموسيقية لمبتكري ومؤدي ومتلقي هذا الارث .وقد قام كثير من الدول العالم وخصوصا في اوربا وامريكا بانشاء مراكز بحثية خاصة تعنى بجمع وحفظ وتصنيف وتحليل مواد ارثهم الشعبي ومن ثم تحديد سماته وخصائصه الموسيقيةاما في العراق وبرغم تعدد وتنوع اشكال التراث والموروث ال

The performance of job effectively requires narrowing the meaningful routine activities and attempting employing the job procedures in favor of public welfare through adding the green impact as well as removing them from the red tapes which reflect the firmness of procedures, to enable the job parties to make their job independently, and pushing them to gain priority in the competition layer. This is not attaining easily amidst the regulatory problems expressed by the complication of procedures, the thing which make identifying the problem of the study through the following question:

Should we make the complex of procedures and their firmness a way to adopt the idea of the green regulatory tapes supportin

In this study, we have created a new Arabic dataset annotated according to Ekman’s basic emotions (Anger, Disgust, Fear, Happiness, Sadness and Surprise). This dataset is composed from Facebook posts written in the Iraqi dialect. We evaluated the quality of this dataset using four external judges which resulted in an average inter-annotation agreement of 0.751. Then we explored six different supervised machine learning methods to test the new dataset. We used Weka standard classifiers ZeroR, J48, Naïve Bayes, Multinomial Naïve Bayes for Text, and SMO. We also used a further compression-based classifier called PPM not included in Weka. Our study reveals that the PPM classifier significantly outperforms other classifiers such as SVM and N

In the field of data security, the critical challenge of preserving sensitive information during its transmission through public channels takes centre stage. Steganography, a method employed to conceal data within various carrier objects such as text, can be proposed to address these security challenges. Text, owing to its extensive usage and constrained bandwidth, stands out as an optimal medium for this purpose. Despite the richness of the Arabic language in its linguistic features, only a small number of studies have explored Arabic text steganography. Arabic text, characterized by its distinctive script and linguistic features, has gained notable attention as a promising domain for steganographic ventures. Arabic text steganography harn

    Text categorization refers to the process of grouping text or documents into classes or categories according to their content. Text categorization process consists of three phases which are: preprocessing, feature extraction and classification. In comparison to the English language, just few studies have been done to categorize and classify the Arabic language. For a variety of applications, such as text classification and clustering, Arabic text representation is a difficult task because Arabic language is noted for its richness, diversity, and complicated morphology. This paper presents a comprehensive analysis and a comparison for researchers in the last five years based on the dataset, year, algorithms and the accuracy th