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Message: [QUOTE="Verinco, post: 567759, member: 51866"] I personally just call them LLMs. The algorithm is really good at finding patterns, which is exactly what you want when translating something. What I’ve been doing is scanning the RAM while debugging the game, then creating a log that gets passed to an LLM to find patterns. After that, I manually create a replacement. With today’s models, you can even have the LLM write a replacement tool for you, but I prefer doing it manually because I learn a lot from the process as a game developer. When it comes to translation, the LLm follows your system prompt, meaning the quality of your prompt directly dictates the quality of the translation. Currently, AI chatbots like Gemini or ChatGPT are widely used in Japan, so their Japanese language interpretation and grammar accuracy are exceptionally strong. This makes LLM translation completely different from traditional tools like Google Translate. LLMs understand the broader task based on contextual patterns, so the main limitation now becomes how the game itself is programmed. And that brings us to the core issue, Japanese characters (Katakana, Hiragana, etc.) are stored as bytes in memory. When you try to translate text into English and patch it back in, you often hit a character limit because the English translation is much longer than the Japanese original, which can cause the game to crash. To solve this, you have to build another system to generate shorter translations. But this creates a new problem, sometimes your only option is to use a shortened phrase that sounds robotic. It isn't something a human translator could fix either ,sometimes your hands are simply tied by the memory limits. [/QUOTE]

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