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Abstract
The rapid development of artificial intelligence and language technologies has significantly transformed the field of translation. Machine translation has evolved from rule-based systems to sophisticated neural machine translation models capable of processing large amounts of multilingual data and generating increasingly fluent translations. At the same time, human translation continues to play a crucial role in professional, literary, academic, legal, diplomatic, and culturally sensitive communication. This article presents a comparative analysis of machine translation and human translation, focusing on their strengths, limitations, functional differences, and potential for cooperation.
References
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