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A study of some of the of the Verbs’ Arabic Roots in the stories of Osman Ceviksoy Like a Voice in The Dark.: Osman Çeviksoy'un "Karanlıkta Ses Gibi" Başlıklı Öykü Kitabında Arapça Kökenli Türkçe Fillerin İncelenmesi
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Due to the Geographical links, language is one of the multiple affects among Arabs and Turks. As the different studies demonstrate, Turkish contains many words derived from other languages, yet Arabic remains the language that has great affects on Turkish. Unlike Turkish language, Arabic is a derivative language that requires no suffixes. Thus, Arabic verbs are tuned into Turkish verbs by adding auxiliary verbs. The present study traces some of the Turkish compound words of Arabic roots with an explanation that shows the Auxiliary added to form the Turkish verb as found in the stories of Otman Chevek Sawy’s Like A voice in the Dark. The conclusion sums up the findings of the study illustrated by numbers.

Özet

Uzun yıllar aynı coğrafyada yaşayan Türkler ve Araplar arasında birçok alanda olduğu gibi dilde de etkileşim yaşandığı bilinmektedir. Birçok çalışmada da tespit edildiği gibi Türkçeye birçok yabancı dilden kelime girmiştir; ancak bunların başında Arapça olduğu söylenebilir. Arapçadan Türkçeye giren kelimler mastar olarak girdiği için Türkçeden yardımcı fiil alarak fiille dönüşmüştür. Arapça bükümlü bir dil olmasından dolayı içinde durum ekleri bulunmamaktadır. Türkçede durumun bunun tam tersidir. Çünkü fiiller belirli bir durumu ekini isterler. Bu çalışmada Osman Çeviksoy'un "Karanlıkta Ses Gibi" Başlıklı Öykü Kitabında yer alan metinlerde geçen Arapça kökenli kelimelerle inşa edilen birleşik fiiller tek tek tespit edilmiş, satır ve sayfa numaraları belirtilmiş; nasıl oluştuğu ve hangi yardımcı fiili aldığı belirlenmiştir. Çalışmanın sonunda elde edilen sonuç rakamlarla tasnif edilerek belirilmeye çalışılmıştır.

 

      

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Publication Date
Wed Oct 21 2015
Journal Name
Integrated Journal Of Engineering Research And Technology
A HYBRID CUCKOO SEARCH AND BACK-PROPAGATION ALGORITHMS WITH DYNAMIC LEARNING RATE TO SPEED UP THE CONVERGENCE (SUBPL) ALGORITHM
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BP algorithm is the most widely used supervised training algorithms for multi-layered feedforward neural net works. However, BP takes long time to converge and quite sensitive to the initial weights of a network. In this paper, a modified cuckoo search algorithm is used to get the optimal set of initial weights that will be used by BP algorithm. And changing the value of BP learning rate to improve the error convergence. The performance of the proposed hybrid algorithm is compared with the stan dard BP using simple data sets. The simulation result show that the proposed algorithm has improved the BP training in terms of quick convergence of the solution depending on the slope of the error graph.

Publication Date
Sat Jun 15 2019
Journal Name
Journal Of The College Of Basic Education
The Effect Of Phoenix Dactylifera L. Pinnae Reinforcement On The Mechanical And Thermal Properties Of Polymer Composite
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Fri Oct 13 2023
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Mon Aug 01 2022
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Assessing the optoelectronic performance of d-orbital doped cubic HfO2: The case of W, Nb, and Mo
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Wed Feb 02 2022
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Publication Date
Tue Oct 01 2019
Journal Name
Engineering Journal
the effect of diyala river water qulity on the quality of tigris river water using GIS mapping
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Fri Dec 01 2023
Journal Name
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The Effect of Adding Phosphorus and Zinc Spraying on the Nutrient Content and Root Growth of Cabbage
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