> Maybe it's already in the training set, but GPT-4 does give that exact translation. The corpus includes Wikipedia, so yes, it's in there. That's the kind of

> Maybe it's already in the training set, but GPT-4 does give that exact translation. The corpus includes Wikipedia, so yes, it's in there. That's the kind of thing I'd expect it to be good at, along with idioms, when the model gets large enough. I meant that no machine translation system could translate the games. Thanks to an early localisation decision, you have to do more than just translate words into words for this series, making it a hard problem: https://en.wikipedia.org/wiki/Phoenix_Wright:_Ace_Attorney https://en.wikipedia.org/wiki/Phoenix_Wright:_Ace_Attorney > While the original version of the game takes place in Japan, the localization is set in the United States; this became an issue when localizing later games, where the Japanese setting was more obvious. Among other things, translators have to choose which Japanese elements to keep and which to replace with US equivalents, while maintaining internal consistency with the localisation decisions of previous games. Doing a good job requires more than just linguistic competence: there's nothing you could put in the corpus to give a GPT-style system the ability to perform this task.