THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON LANGUAGE TRANSLATION

This research investigates the significant role of Artificial Intelligence in transforming the landscape of language translation. It explores foundational concepts such as Machine Learning (ML), Deep Learning (DL), Statistical and Neural Machine Translation (SMT & NMT), and Natural Language Processing (NLP). The article highlights the integration of fuzzy algorithms, feature extraction, and advanced evaluation methods that enhance translation accuracy and fluency. The study concludes by emphasizing the evolution from traditional rule-based systems to AI-powered solutions and discusses future trends like multimodal and context-sensitive translations.