> using a language model on top of character level OCR
But if you know you're going to use a language model after the OCR, then you don't OCR to a single character, but rather to a distribution of character similarity (e.g. the 90% least similar or clipping at a certain similarity threshold). Then the language model should have more to work with (although TBH its work becomes more complicated).
But if you know you're going to use a language model after the OCR, then you don't OCR to a single character, but rather to a distribution of character similarity (e.g. the 90% least similar or clipping at a certain similarity threshold). Then the language model should have more to work with (although TBH its work becomes more complicated).