MACHINE TRANSLATION TOOLS IN TRANSLATION PROCESS

This article provides a comprehensive overview of Machine Translation (MT) tools and their integration into the translation process. It traces the development of MT systems from early rule-based methods to modern neural machine translation (NMT), highlighting the technological advancements that have made tools like Google Translate and DeepL widely accessible. The article addresses the benefits of MT, including its speed and cost-effectiveness, as well as its limitations, particularly in terms of translation quality and cultural context. The article emphasizes the ongoing role of human translators, especially in tasks requiring post-editing of machine-generated translations, and discusses the future prospects of MT tools in professional settings. By offering a balanced view of MT's current capabilities and challenges, the article provides valuable insights into the evolving landscape of translation technologies.