Researchers have developed a new pipeline called Enriched Text to process and annotate OCR text from large institutional book collections, such as Harvard Library's IB-HL. This approach aims to address the limitations of existing pipelines that often over-filter and deduplicate text, losing valuable metadata. Enriched Text normalizes text while preserving metadata through annotations, allowing users to customize their data processing based on specific needs. The system separates endmatter, detects paragraph-level language, identifies duplicate content, and calculates text quality scores, making the collection more accessible for both machine parsing and human study. AI
IMPACT Enhances the usability of large digitized book collections for AI research by providing a more flexible and metadata-preserving processing pipeline.
RANK_REASON The item describes a new open-source pipeline and processed dataset for academic research. [lever_c_demoted from research: ic=1 ai=1.0]
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