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A student's writting guide

دليل الطالب في الكتابة الأكاديمية الانكليزية و اختبار الكتابة في امتحان أيلتس

1033   0   9   0.0 ( 0 )
 Added by Cambridge كتاب
 Publication date 2020
  fields English
and research's language is العربية
 Created by Shamra Editor




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Coins are considered as one of the most important types of applied arts. Modern age culture not only searches for beauty in plastic arts, but also in applied arts. As every applied art work swings between functionality and aestheticism, an artist see ks to upgrade the aesthetic value of applied fine work for many purposes, mainly to market the work, and to make the aesthetic value itself as an aim to meet self-tendency and reveal skills and innovations. Industry related aesthetics has emerged in modern time called industrial aesthetics, the famous theorists of which were Jean Bar Telmy and Charl Lalu. Consequently, this research has come to refer to writing as a key element in shaping coins. It also underlines the importance of such an element to render an aesthetic value for coins in addition their originally functional value, starting from the emergence of coins and the need for writing as a coin element and then the development of the concepts and dimensions of such writing through time to the present time.
يبين هذا البحث كيف تعامل ابن خلدون مع ثنائية السياسة والدين اذ اقام تشبيها عضويا ماثل فيه بين تطور الدولة وافراد النوع البشري لذلك نستخلص انواع الدول واشكالها كما وصفها بثلاثة: - طور البداوة - طور الملك والحضارة - طور الاضطمحلال
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Analyzing microblogs where we post what we experience enables us to perform various applications such as social-trend analysis and entity recommendation. To track emerging trends in a variety of areas, we want to categorize information on emerging en tities (e.g., Avatar 2) in microblog posts according to their types (e.g., Film). We thus introduce a new entity typing task that assigns a fine-grained type to each emerging entity when a burst of posts containing that entity is first observed in a microblog. The challenge is to perform typing from noisy microblog posts without relying on prior knowledge of the target entity. To tackle this task, we build large-scale Twitter datasets for English and Japanese using time-sensitive distant supervision. We then propose a modular neural typing model that encodes not only the entity and its contexts but also meta information in multiple posts. To type homographic' emerging entities (e.g., Go' means an emerging programming language and a classic board game), which contexts are noisy, we devise a context selector that finds related contexts of the target entity. Experiments on the Twitter datasets confirm the effectiveness of our typing model and the context selector.
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