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, including LLMs.
Abstract (translated)
我们介绍了Patrologia Graeca语料库，这是首个针对19世纪古希腊文版的大型开源OCR（光学字符识别）和语言资源。该收藏涵盖了未被数字化的Patrologia Graeca (PG) 卷，这些卷采用复杂的双语文本布局（希伯来-拉丁文），并且特征是高度退化的多音调希腊文字体。 通过结合基于YOLO的版面检测与CRNN基础的文字识别方法组成的专用管道，我们达到了1.05%的字符错误率(CER)和4.69%的单词错误率(WER)，这大大超越了现有的针对多音调希腊语的OCR系统。生成的语料库包含大约六百万个经过词形还原且标注了词性标签的词汇单元，与完整的OCR和版面注释对齐。 除了其文献学价值外，该语料库还为嘈杂环境下的多音调希腊语OCR设立了新的基准，并提供了未来模型（包括大语言模型）的训练材料。
URL
https://arxiv.org/abs/2603.09470
