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ES’AT NAİB’İN “ZAMANIN ELİ” ADLI DİVANINDA İSİM ÇEKİM EKLERİ (Karşılaştırmalı İnceleme)
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Irak Türk ağızları Azeri Türkçesinin bir uzantısı olarak değerlendirilir.Kerkük Türkçesiyle yazılan edebi ürünler, Irak Türkçesinin tamamını ifade etmek üzere kullanılmaktadır. Zamanın Eli divanı Kerkük Türkçesile yazılan bir eserdir. Bu yüzden bu divanı seçtik ve Irak Türkmen Türkçesi , Osmanlı Türkçesi ve Türkiye Türkçesi dilleri arasında  karşılaştırmalı bir inceleme yaptık.

Bu araştırma, Irak Türkmen şairlerinden birisi  sayılan  Es’at Naib’in  şiirleri üzerinde uygulamalı bir çalışmadanoluşmaktadır. Bu çalışmada adı geçen şairin “Zamanın Eli” Divanından bazışiirlerini önce yeni Türkçeye çevirdik vedaha sonra isim çekim ekilerini ele aldık.

 

Abstract

      The present,“Noun Suffixes in Selected Poems from “The Hand of Time” Divan of the poet Asaad Al-Naeeb”, is a comparative study about noun suffixes in the Turkish Language of Turkmen in Iraq and the Modern Turkish Language.

Asaad Al-Naeeb is considered one of the most important Turkmen poets in Iraq. His poetry is characterized by depth of meanings and rhymes. He has started his literary work since 1918 in Kirkuk. He published his first poem in Al-Najma magazine and then he published his poems in different local magazines and newspapers. The poems chosen for this research are extracted  from the divan of “The Hand of Time”. They are: The Happy Country: Iraq, Your Hazel Eyes, The Song of Spring, The Hand of Time and Blame, Desertion and Imagination.

These poems were translated from the Turkish language of Iraqi Turkmen into the modern Turkish Language. The suffixes were then pointed out for study. Grammarian classify noun suffixes into:

  1. Suffixes of noun cases
  2. Pluralization suffix
  3. Possession suffixes
  4. Statement suffixes
  5. Interrogative suffixes

The Turkish Language of the Iraqi Turkmen is similar to the Modern Turkish Language in terms of the characteristics of sounds and their pronunciation. It differs, however, in terms of the pronunciation of the vowels and consonants and both are similar in syntax. The reason of this difference is attributed to the effect of the Arabic language on the Turkish Language of the Iraqi Turkmen as the first has long vowel sounds. The noun suffixes in the Turkish Language of the Iraqi Turkmen which are extracted from the poems of Asaad Al-Naeeb are similar in form and structure in the Turkmen, Ottoman and the Turkish languages. The suffixes were written in the Arabic letters in the Turkish Language of Iraqi Turkmen and the Ottoman Language while the Modern Turkish letters were written in the Latin.  After finding the noun suffixes in Asaad al-Naeeb’s poems, they were classified as follows:

  1. Suffixes of noun cases
  2. Possession suffixes
  3. Polarization suffix
  4. The uncommon statement suffixes

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Publication Date
Tue Sep 01 2020
Journal Name
Al-khwarizmi Engineering Journal
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Wed Feb 29 2012
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Al-khwarizmi Engineering Journal
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Publication Date
Tue Dec 31 2013
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Al-khwarizmi Engineering Journal
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The increasing use of polymeric materials in the daily life, leads to challenges in the processing industry to deliver high performance materials with affordable terms. However, new processing techniques lead to high costs. In order to reduce processing costs it is necessary to understand the non-Newtonian behavior of the polymers in their molten state to be able to simulate the processes before the construction of the plants starts. Here the shear thinning behavior of the viscosity of polymeric melts is essential. Thus, this paper deals with the experimental investigation of the thermo-rheological behavior of the viscosity of one of the most used polymers (Polypropylene) over a wide range of temperatures and shear rates.  Furthermo

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Publication Date
Thu Jun 01 2023
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Publication Date
Tue Dec 31 2019
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Publication Date
Mon Dec 20 2021
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Publication Date
Sun Sep 01 2019
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Publication Date
Thu Jun 10 2021
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مجلة حقائق للدراسات النفسية والاجتماعية
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Publication Date
Sat Oct 01 2022
Journal Name
Baghdad Science Journal
Offline Signature Biometric Verification with Length Normalization using Convolution Neural Network
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