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Word-Formation System And Its Influence On The Translation Of New Vocabulary In Russian And Arabic: Словообразовательная Система И Ее Влияние На Перевод Новой Лексики В Русском И Арабском Языках
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Derivational word formation process is one of the most substantial linguistic procedures that solves many problems in the translation of the language new vocabulary and helps to comprehend the smallest language component that not simply semantically and structurally explain the elements  of both Russian and Arabic but also enables translators to comprehend the derivational method procedures of both languages. It also reveals the structural aspects of translation equivalences, cognitive and semantic foundations of translation. The rapid development of languages and the appearance of a new vocabulary like ṭabaʿa "print → ṭābiʿat "printer", kataba "to write" → kātib → kātibat, rafaʿa "to raise" → rāfiʿat "a crane" dictate its own terms, binding both linguists as well as translators to discover a new methods of the resolving complications of translation equivalences.

 The interaction happening between the derivational word process and translation provides an exceptional prospect to grasp the language words structure that regulates the smallest word components of both languages. Structure and semantics are involved in the construction of minimal significant elements, which makes it possible to understand the new vocabulary patterns to achieve translation equivalence.

Аннотация

 Словообразовательная система является одной из важных систем лингвистики, изучение которой решает много переводческих проблем новой лексики. Рассмотрение особенностей словообразования как важной языковой подсистемы дает нам понять мельчайшие значимые языковые элементы. Эти элементы не только поясняют структуру и семантику  производных слов русского и арабского языка, но и дают переводчикам возможность понять, как действуют словообразовательные процессы обоих языков. На основе словообразования, раскрываются структурные стороны переводческой эквивалентности, когнитивные и семантические основы перевода. Бурное развитие языка и появление новой лексики типа abaʿa "напечатать → ābiʿat "принтер", kataba "писать" → kātibkātibat, rafaʿa "поднимать" → rāfiʿat "подъемщик" диктуют свои условия, обязывающие не только лингвистов, но и переводчиков найти новые основы для решения проблемы переводческой эквивалентности.

Взаимодействие словообразования и перевода дают уникальную возможность понять структуру слов языка, что выясняет минимальный значимый состав слов обоих языков. Структура и семантика участвуют в строении минимальных значимых элементов, что дает возможность понять состав новой лексики и как достичь переводческой эквивалентности.    

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Resumen

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Modal Component in Meaningful Structure of the Utterance with the Semantics of “Disappearance” in Russian
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Abstract

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Deep learning convolution neural network has been widely used to recognize or classify voice. Various techniques have been used together with convolution neural network to prepare voice data before the training process in developing the classification model. However, not all model can produce good classification accuracy as there are many types of voice or speech. Classification of Arabic alphabet pronunciation is a one of the types of voice and accurate pronunciation is required in the learning of the Qur’an reading. Thus, the technique to process the pronunciation and training of the processed data requires specific approach. To overcome this issue, a method based on padding and deep learning convolution neural network is proposed to

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