Corpus linguistics is a methodology in studying language through corpus-based research. It differs from a traditional approach in studying a language (prescriptive approach) in its insistence on the systematic study of authentic examples of language in use (descriptive approach).A “corpus” is a large body of machine-readable structurally collected naturally occurring linguistic data, either written texts or a transcription of recorded speech, which can be used as a starting-point of linguistic description or as a means of verifying hypotheses about a language. In the past decade, interest has grown tremendously in the use of language corpora for language education. The ways in which corpora have been employed in language pedagogy can be divided into two main categories: indirect and direct application. In the former corpora are used in designing and developing the syllabuses, dictionaries, tests, and teaching materials, while later, corpus data are used for data-driven learning and what is known as grammar safari. So this research aims at employing corpus data in teaching Arabic grammar. Functional syntactic analysis of corpus is a must for this purpose, so Quranic corpus is the most appropriate one. In this paper,I examined the specification phenomenon (التمييز) in Quranic corpus and compared the descriptive and prescriptive approaches in teaching causative object as a grammatical phenomenon in Arabic.
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استأثرت ظاهرة هجرة العقول او (الكفاءات العلمية) خلال العقدين الاخيرين باهتمام البلدان المتقدمة والنامية على حد سواء ، وذلك نسبة لاثارها السلبية والايجابية ، على الواقع الاجتماعي والتنموي في الدول المرسلة والمستقبلة ، وزاد الاهتمام بهذه الظاهرة في البلدان النامية لما ينجم عن هجرة العقول من خسارة البلدان المرسلة للموارد البشرية العالية التاهيل ، واللازمة لتحقيق النمو الاقتصادي ذ
... Show MoreA substantial percentage of the world’s energy consumption (almost 40%) and carbon dioxide (CO2) emissions (around 37%) come from the construction industry, especially schools. This work presents a new hybrid artificial intelligence (AI) engineering model that aims to maximize energy performance on campuses in a holistic way. Modules for data-driven forecasting, metaheuristic optimization, and real-time adaptive control are all part of the concept. A thorough energy simulation of a university campus building is used in conjunction with the AI model to assess its performance through a co-simulation framework. Findings show that yearly peak electricity demand may be reduced by 18.7% and total site energy consumption by 22.4% when co
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ناصر والقومية العربية برؤى نزارية
An automatic text summarization system mimics how humans summarize by picking the most significant sentences in a source text. However, the complexities of the Arabic language have become challenging to obtain information quickly and effectively. The main disadvantage of the traditional approaches is that they are strictly constrained (especially for the Arabic language) by the accuracy of sentence feature functions, weighting schemes, and similarity calculations. On the other hand, the meta-heuristic search approaches have a feature tha
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The author’s research is dedicated to the actual problem of identifying the linguoculturological and translation features of the glutonic vocabulary both in Russian and in Arabic. It is noted that the vocabulary of the glutonic type is extremely rich and diverse, as it is part of the national and linguistic culture of the Russian and Arab people. In the gastronomic discourse of the Russian people and the Arab peoples, it is represented by various parts of speech. The study of the traditions of food consumption confirmed the rich stylistic possibilities of the glutonic vocabulary, the names of bread in Russian and Arabic languages. It has been established that in modern Russian gastronomic discourse, glutonic lexical units are involved
... Show MoreThis article presents and explores the theoretical aspect in the use of Arab Islamic theme by the western writers to obtain and achieve individual motives. In this study the model for the theory of Arab presence in Andalusia , through the book entitled “ Alhamra” by the English writer Washington Erving ,was analyzed.
The most important results in this research: the success of the author in the employment of the Islamic history in the formation of the first American legend, Columbus legend, through the selection of the right thoughts to establish his American National theory. The author compared between the Andalusia experience and the Arab occupation to Spain and the American conquest of the new
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The deliberative system of communicative studies is exposed to cultural openness, according to modern cultural studies, to establish a verbal language system that achieves reciprocal and cross-cultural relations. This research has examined the concept of deliberative approach in the contemporary Iraqi theater text by studying the deliberative system of text and its interrelationship with The stage of the verbal embodiment of the dramatic event, because the dramatic text achieves in its construction of racism, a deliberative approach between the verbal event and the language, and what later leads to the completion of the dramatic action. The research included four chapters. The first chapter was the systematic framework of the research, T
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لقد شهدت المنطقة العربية تحولات وتغييرات شاملة انطوت على عنصري المفاجأة من حيث التوقيت، وانعكاساتها الاقليمية والدولية، إذ اجتاحت الدول العربية ثورات شعبية احدثت جملة من التغيرات والتبدلات الجيوسياسية، اذ استطاع بعضها اقتلاع انظمة حاكمة كان من غير المتصور ان تتزحزح من مكانها مع تسلحها بكل ادوات العصر من القمع والديكتاتورية الاستبداد، لذا كان للطابع الشعبي السلمي والنجاح الذي تحقق للشعوب العربية كما في م
... Show MoreThe objective of this study is to apply Artificial Neural Network for heat transfer analysis of shell-and-tube heat exchangers widely used in power plants and refineries. Practical data was obtained by using industrial heat exchanger operating in power generation department of Dura refinery. The commonly used Back Propagation (BP) algorithm was used to train and test networks by divided the data to three samples (training, validation and testing data) to give more approach data with actual case. Inputs of the neural network include inlet water temperature, inlet air temperature and mass flow rate of air. Two outputs (exit water temperature to cooling tower and exit air temperature to second stage of air compressor) were taken in ANN.
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