Comment by teshigahara
5 hours ago
Automatic furigana is not really possible to be reliable considering readings heavily rely on context that can't be easily inferred, but I'm sure it will help some people who can't read very well.
5 hours ago
Automatic furigana is not really possible to be reliable considering readings heavily rely on context that can't be easily inferred, but I'm sure it will help some people who can't read very well.
You can run LLMs inside the shaping engine, so maybe you can use more advanced segmenting and transliteration algorithms? https://fuglede.github.io/llama.ttf/
It can depend on implied information, e.g. 方 can be hou or kata depending on if you're talking about about direction or a person. And that information can be before it, after it, on some image next to it, etc.
"Your scientists were so preoccupied with whether or not they could, that they didn't stop to think if they should."