I don't understand what point you're trying to make here. At the risk of being tangential (due to not understanding) LLMs have famously been able to accept base64 encoded natural language as input "out of the box" because (it seems) under the hood they already transparently translate all inputs into their own internal "language" system on the fly. Presumably a similar translation could be learned for input of reverse english (or rather merely adjusting attention) although at a glance it seems like output might not be feasible.