AI-Driven Machine Translation and Human Creativity: A Collaborative Model for the Future

Abstract

With the rapid development of artificial intelligence (AI) and neural machine translation (NMT) technology, the translation industry is undergoing a profound transformation. AI excels at processing standardized texts quickly and maintaining terminology consistency. However, in areas such as emotional expression, cultural nuance, and literary translation, AI still faces significant limitations. This paper explores future collaboration models between human translators and AI, particularly in post-editing, cultural adaptation, contextual understanding, and emotional conveyance. By combining human creativity with AI's efficiency, higher-quality translations can be achieved. In the future, human translators will take on roles as cultural mediators and creative translators, providing flexible and deep solutions for complex cross-cultural translation tasks through collaboration with AI.