研究人员开发了一种用于光学字符识别（OCR）的迭代微调方法，以改进复杂历史梵文手稿的数字化。该方法可适应手稿特定的布局和外观，减少了对大量手动注释的需求。该研究还对多模态大型语言模型在为此任务创建的新数据集上的性能进行了基准测试。 AI
影响 这项研究可以实现对历史文本更准确、更高效的数字化，使学者们更容易进行研究。
排序理由 该集群描述了一篇学术论文，其中详细介绍了一种应用于历史手稿的新OCR方法。
在 Hugging Face Daily Papers 阅读 →
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arXiv:2608.18696v1 Announce Type: cross Abstract: Digitizing the text from handwritten historical manuscripts is required to make them easily accessible, preservable, and to enable historical scholars to study them in new ways. Historical manuscripts, however, often exhibit compl…
Digitizing the text from handwritten historical manuscripts is required to make them easily accessible, preservable, and to enable historical scholars to study them in new ways. Historical manuscripts, however, often exhibit complex heterogeneous layouts and non-standard appearan…