LLM post-OCR cleanup plus dense retrieval and cross-encoder reranking raises NDCG@10 by 31.9% over BM25 on 500k Swiss newspaper segments while cutting CER/WER substantially.
Post-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study
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Improving Access to Historical Archives with Real-time RAG-based Systems
LLM post-OCR cleanup plus dense retrieval and cross-encoder reranking raises NDCG@10 by 31.9% over BM25 on 500k Swiss newspaper segments while cutting CER/WER substantially.