Is Machine Translation Finally 'Solved'? A Look at the Algorithmic Babel Fish

This article examines the evolution of machine translation (MT), from AltaVista's Babel Fish to today's sophisticated AI-powered tools. While advancements have dramatically improved speed and efficiency, the author uses Umberto Eco's critique of early MT systems to highlight the persistent challenges in translating nuanced context, cultural implications, and literary devices. Although AI excels in everyday tasks, it falls short of human translation's crucial role in handling subtle linguistic and cultural differences. The article cautions against over-reliance on MT, warning of potential cultural impoverishment and devaluation of human translation skills. It advocates for a cautious approach, emphasizing the unique value of human translators.