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The research is concerned with the effect of Quranic meanings in directing society's behaviors through poetry, which in turn is an effective tool in purifying and refining the human soul. Whether in a direct way to adopt community issues or in a suggestive manner, and in an unconscious activity that attempts to mislead the reader about the direct intent of the poetic significance. Because of the value of poetry and its impact on man and his taste, ancient and modern, the Quranic meanings were embodied in the poem "You taught me life'' by the poet "Mohammed Mustafa Hamam Al-Masry.'' He is one of the first generations of poets in the modern era. The poem is well-known for its representation and recitation. However, this is due to the agility of its language and the follow-up of the Qur'anic meanings, which came spontaneously and smoothly, evoked by the ideas mixed with the sincerity of passion of the committed Arab poet. Moreover, this led to a phenomenon that contributed to the production of a coherent text, but we did not find any interest in analyzing this poem and identifying the secrets of creativity, and its deep values. Therefore, we will explore and analyze these aesthetic secrets and show how they were employed to build society because of the connotations they carried inspired by the Holy Qur'an, which is a method for building society. We will first clarify the terms used in the research, identify the writer of the poem and his literary product, and move on to the analytical techniques of recalling meanings. The Qur'anic implications, the aesthetics of quotation, and its value in achieving creativity and then revealing the empowerment of these meanings in the mind of the reader. [ABSTRACT FROM AUTHOR]

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Objective: The aim of this study was to evaluate the effectiveness of Parsijoo, Yooz, and Rismoon search engines to determine the efficient search engine to retrieve relevant documents to users. Methodology: This research was an applied evaluative study. The population of this research consists of three sections: Persian search engines, simulated work tasks (thematic title), and participants (students). In this study, three search engines, Parsijoo, Yooz, and Rismoon, were selected for evaluation. Also, 32 subject headings were selected from the list of Persian subject headings, and then, based on them, simulated work tasks were compiled. 192 students of Ferdowsi University of Mashhad were asked to search the information created from the simulated work tasks in the relevant search engines, then copy the relevant URL and register it in the search form. The 192 students of Ferdowsi University of Mashhad were asked to enter the information required from the simulated work tasks in the relevant search engines, then copy the relevant URL and register it in the search form. Finally, when an URL was chosen more often by students as a relevant website, it was given a higher relevance score. Findings: Findings showed that the three search engines including Parsijoo, Yooz, and Rismoon had a significant difference in the metrics of normalized discounted cumulative gain, and precision, but no significant difference was observed between the three search engines in the recall metric. The general findings of the study also showed that the effectiveness (mean of normalized discounted cumulative gain, precision, and recall) of the search engines was significantly different. In addition, at a 95 percent confidence level, the effectiveness of Parsijoo about 42 percent to 45 percent; Yooz about 43 percent to 46 percent; and Rismoon about 15 percent to 17 percent are estimated. Our estimate indicates that the Rismoon search engine is performing poorly. Also, the effectiveness of Yooz search engine is slightly higher than Parsijoo search engine. Conclusion: Each of Parsijoo, Yooz, and Rismoon search engines has their own policies, capabilities and strategies; hence the effectiveness of each of them is different. Users are advised to use efficient search engine to get the information they want. In this regard, Yooz, Parsijoo, and Rismoon search engines are the most efficient, respectively. In addition, policymakers of Parsijoo, Yooz, and Rismoon search engines are also recommended revising hardware equipment, retrieval algorithms, user interfaces, and information display methods. Finally, it can be concluded that despite the low age of native search engines, the effectiveness of both Yooz and Parsijoo search engines is at a satisfactory level. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Arabian Sciences Heritage is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Al-Adab / Al-ādāb is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Processing of the Arabic language is a difficult mission comparing it with other languages. Because Sentences in Arabic language are complex, longer than the others in various languages, and have difficult structure with lattices. The syntactic structure of sentences parts may be missing, affecting the orders of words and phrases. Parsing Arabic sentences can be done via several techniques which are started with top-down and or bottom-up parsing. Recursive Transition Network one of the most famous techniques for parsing sentences. It is a finite transition automaton of limited states. This paper presents a new method in processing the first stage from Arabic language processing which is a syntax analysis by using Transition Networks techniques. This technique presents morphological analysis for sentence tokens. Prolog version 2 where used for execution parsing, since it is more consistence for natural languages representation and processing.