Abstract:
The current research article explores how different technological tools and software affect the efficiency, accuracy, and the general quality of translation workflows today. A key focus is whether technology helps or hurts the translator's job and their ability to be creative. Using a mixed-methods approach, gathering insights from surveys and interviews with translators, as well as analysing workflow metrics before and after tech was introduced, the research shows that using advanced translation tech greatly boosts efficiency and consistency, while also keeping translation quality high, or even improving it. Interestingly, the study found that while technology makes things easier and provides resources, translators need to adapt their skills. This creates a complex relationship between technology and how creative the translator can be. In a world that is more connected, technology's role in translation work has become very important, changing how fast and accurate language services are. The use of digital tools and software has changed old ways of working, allowing translators to create good translations more quickly than before. Key to this change are computer-assisted translation (CAT) tools, which help the translation process by providing features like translation memories and terminology databases. These tools improve consistency in projects and help handle large amounts of text, leading to a smoother workflow. Additionally, progress in artificial intelligence and machine learning has brought in machine translation systems, which, even with their drawbacks, are useful in initial translation tasks and when quick results are needed. As technology keeps improving, its impact on translation processes grows, showing a major change in how language tasks are done today. the use of technology in today's translation processes has really changed how translation works, making it quicker, more precise, and easier to access.
