The Patrologia Graeca Corpus: OCR, Annotation, and Open Release of Noisy Nineteenth-Century Polytonic Greek Editions
Chahan Vidal-Gor\`ene (CJM, LIPN), Bastien Kindt

TL;DR
This paper introduces the Patrologia Graeca Corpus, a large-scale, open OCR and linguistic resource for nineteenth-century Greek editions, achieving high accuracy and providing valuable data for philology and future AI models.
Contribution
It presents a novel OCR pipeline for complex Greek texts, creating a comprehensive annotated corpus that sets new benchmarks and supports future research.
Findings
Achieved 1.05% CER and 4.69% WER in OCR accuracy.
Generated a corpus with six million lemmatized and POS-tagged tokens.
Established a new benchmark for OCR on noisy polytonic Greek texts.
Abstract
We present the Patrologia Graeca Corpus, the first large-scale open OCR and linguistic resource for nineteenthcentury editions of Ancient Greek. The collection covers the remaining undigitized volumes of the Patrologia Graeca (PG), printed in complex bilingual (Greek-Latin) layouts and characterized by highly degraded polytonic Greek typography. Through a dedicated pipeline combining YOLO-based layout detection and CRNN-based text recognition, we achieve a character error rate (CER) of 1.05% and a word error rate (WER) of 4.69%, largely outperforming existing OCR systems for polytonic Greek. The resulting corpus contains around six million lemmatized and part-of-speech tagged tokens, aligned with full OCR and layout annotations. Beyond its philological value, this corpus establishes a new benchmark for OCR on noisy polytonic Greek and provides training material for future models,…
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Digital Humanities and Scholarship · Natural Language Processing Techniques
