Ai-Based Translation Systems: Opportunities And Challenges

Thе аrtiсlе dеаls with the role of AI-based translation systems in modern translation practices, focusing on their opportunities and challenges. The research analyzes how artificial intelligence enhances translation speed, accessibility, and cost efficiency while also identifying key limitations such as semantic inaccuracies, lack of contextual awareness, and insufficient handling of culturally specific expressions. Special attention is given to the comparison between human translation and machine-assisted translation, highlighting the areas where AI systems perform effectively and where human intervention remains necessary. The findings suggest that while AI-based translation systems offer substantial benefits, they cannot fully replace human translators. Instead, an integrated approach combining artificial intelligence with human expertise is recommended to achieve higher translation quality and reliability.