课题基金 / 基金详情

Automated postcorrection of OCRed historical printings with integrated optional interactive postcorrection

Automated postcorrection of OCRed historical printings with integrated optional interactive postcorrection
通过集成的可选交互式后期校正对 ORed 历史打印进行自动后期校正
批准号:
393215159
负责人:
Professor Dr. Klaus U. Schulz
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research data and software (Scientific Library Services and Information Systems)
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2019-12-31

项目摘要

项目成果

Professor Dr. Klaus U. Schulz的其他基金

相似基金

相关文献

中文摘要
翻译
显然需要改进现有的历史印刷全文数字化方法,这代表了dfg计划的总体背景,Skalierbare Verfahren der Text- und Strukturerkennung f<e:1> r die Volltextdigitalisierung historischer Drucke。该程序的模块3特别解释了OCR输出的高级后校正的需要。在我们的团队中,我们花了几年的时间开发了一个专门的系统“PoCoTo”,用于OCRed历史印刷的交互式后校正。尽管如此,在大规模数字化的背景下,出于显而易见的原因,自动后校正系统显然更可取。自动后校正的主要问题是避免替换没有被后台校正字典覆盖的正确的ocr -token。在PoCoTo的基础上,我们希望开发一种先进的自动后校正系统,在很大程度上避免这种“错误的校正步骤”。为此,PoCoTo背景技术将得到大量扩展。由于全自动后校正并不总是达到所需的高质量标准,自动校正可以通过可选的半自动或交互式后校正来完成。利用自动校正阶段的所有数据和见解的半自动或交互式后校正方法将直接集成为系统的一部分。
英文摘要
The obvious need to improve current methods for full-text digitalization of historical printings represents the general background of the DFG-program ,,Skalierbare Verfahren der Text- und Strukturerkennung für die Volltextdigitalisierung historischer Drucke``. Module 3 of this program in particular explains the need for high-level postcorrection of the OCR output. In our team we developed over several years a specialized system "PoCoTo" for the interactive postcorrection of OCRed historical printings. Still, in the context of mass digitization for obvious reasons systems for automated postcorrection are clearly preferable. The main problem for automated postcorrection is to avoid a replacement of correct OCR-tokens that are not covered by the background correction dictionary. Building up on PoCoTo we want to develop an advanced system for automated postcorrection that largely avoids such ``infelicitous correction steps''. To this end, the PoCoTo background technology will be substantially extended. Since a fully automated postcorrection will not always reach the very high quality standards needed, the automated correction can be completed by an optional semi-automated or interactive postcorrection. Methods for semi-automated or interactive postcorrection that take advantage of all data and insights from the automated correction phase will be directly integrated as part of the system.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Training of machine-learning based procedures for automated postcorrection of OCRed historical printings
Development of a web-based system for the postcorrection of historical OCR'ed texts
  • 批准号:
    314731081
  • 项目类别:
    Research data and software (Scientific Library Services and Information Systems)
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr. Klaus U. Schulz
  • 依托单位:
Domänen- und dokumentenadaptive Verfahren zur Nachkorrektur von OCR-Ergebnissen
Erweiterung eines Abfragemodells für XML-Daten zur interaktiven Exploration
海外基金