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Determining situational dimensions as a method of Equivalence in the source and target language in the translation of Russian and Arab: ( Понимание реальности ) средство полной эквивалентности текста оргинала и текста перевода на русском и арабском языках
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The present paper stresses the direct effect of the situational dimension termed as “reality” on the authors’ thoughts and attitudes. Every text is placed within a particular situation which has to be correctly identified by the translator as the first and the most important step for a good translation. Hence, the content of any word production reflects some part of reality. Comprehending any text includes comprehending the reality’s different dimensions as reflected in the text and, thus illuminating the connection of reality features.

Аннотация 

Исследование под названием  ((«Понимание реальности» средство полной эквивалентности  текста оригинала  и текста  перевода на русском и арабском языках)) фокусируется на непосредственном влиянии обстоятельств  на личность писателя или автора и его мышление и ориентации, в которых автор живет и окружает его. Мы можем назвать их «реальностью». Понимание реальности и ее понимание - важный шаг для переводчика. Так или иначе, чтобы передать смысл текста точным и простым способом получателю, живущему в той же реальности, и, таким образом, мы можем сказать, что содержание любого словесного продукта и любого устного утверждения отражает часть реальности, независимо от того, кто забыл это утверждение. В любом тексте существует связь между рядом реальных целей реальности. При понимании утверждения получатель начинает понимать связь между фактическими целями реальности, выраженными в этом тексте, и отношения четко понимаются получателем.

 

 

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Publication Date
Thu Jan 02 2020
Journal Name
Journal Of The College Of Languages (jcl)
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Mon Dec 18 2017
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Fri Aug 01 2014
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The Causal Relationship Between Money Supply , Inflation and Exchange Rate in Iraq for the Period ( 1990-2011)
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Sat Apr 01 2023
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Publication Date
Sat Apr 01 2023
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Intrusion detection method for internet of things based on the spiking neural network and decision tree method
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices

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Publication Date
Tue Dec 01 2015
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Publication Date
Tue Jan 02 2018
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Sat Jan 01 2005
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Die Tempusformen im Deutschen und Arabischen
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Die Tempusformen im Deutschen und Arabischen

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