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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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Wed Feb 01 2017
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A comparison between the logistic regression model and Linear Discriminant analysis using Principal Component unemployment data for the province of Baghdad
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     The objective of the study is to demonstrate the predictive ability is better between the logistic regression model and Linear Discriminant function using the original data first and then the Home vehicles to reduce the dimensions of the variables for data and socio-economic survey of the family to the province of Baghdad in 2012 and included a sample of 615 observation with 13 variable, 12 of them is an explanatory variable and the depended variable is number of workers and the unemployed.

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