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This article examines the impact of neural machine translation and generative AI on translation workflows, particularly focusing on post-editing practices. A case study involving the translation of a Turkish user-manual text highlighted the distinction between linguistic accuracy and functional usability, emphasizing the importance of human expertise in the post-editing process. The findings suggest that while AI tools can assist in translation, they require careful prompting and human refinement to meet pr

Author

guntekin.g

Language

EN