Second this. Dealing with human language is one of the few proper reasons to use machine learning, deep learning and neural somethings. As we can't just transcribe words one by one. That just leads to very weird results no one is able to understand. I think we had rule-based systems and fairly simplistic statistics in the early days of computing. But every sane choice you'd actually want to use, leverages some form of machine learning and "AI". DeepL does that, Google Translate, LibreTranslate, Mozilla...
That doesn't however mean all the products are the same. There's some blurry lines(?) where things turn into generative AI. But I'm not aware of any usable machine translation that doesn't use some form of AI to figure out context, grammar, idioms, sentence structure and weird things like identical words which have more than one meaning.