semCER introduces severity-weighted error metrics for OCR

semCER uses an LLM judge to assign severity weights to character edits, addressing the limitation where standard Character Error Rate treats minor typos and critical name errors identically. The metric tracks human readability across English, Vietnamese, and Chinese by breaking down errors into named semantic edits.