Automated postcorrection of OCRed historical printings with integrated optional interactive postcorrection
Automated postcorrection of OCRed historical printings with integrated optional interactive postcorrection
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
中文摘要
改进当前历史印刷全文数字化方法的明显需要代表了DFG程序Skalierbare Verfahren der Text-und Strukturerkennung für die VollextDigitalisierung History ischer Drucke``的总体背景。本程序的模块3特别解释了对OCR输出进行高级后校正的必要性。在我们的团队中,我们花了几年时间开发了一个专门的系统“PoCoTo”,用于OCRed历史印刷的交互后校正。尽管如此,在大规模数字化的背景下,出于明显的原因,自动后校正系统显然是更可取的。自动后校正的主要问题是避免替换背景校正词典未涵盖的正确OCR标记。在PoCoTo的基础上,我们希望开发一个先进的自动后校正系统,以在很大程度上避免这种“不恰当的校正步骤”。为此,PoCoTo后台技术将得到大幅扩展。由于全自动后校正并不总是达到所需的非常高的质量标准,因此可以通过可选的半自动或交互式后校正来完成自动校正。利用自动校正阶段的所有数据和见解的半自动或交互式校正后方法将直接整合为系统的一部分。
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.
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Training of machine-learning based procedures for automated postcorrection of OCRed historical printings
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批准号:431091758
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:2020
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负责人:Professor Dr. Klaus U. Schulz
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依托单位:
Development of a web-based system for the postcorrection of historical OCR'ed texts
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批准号:314731081
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项目类别:Research data and software (Scientific Library Services and Information Systems)
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资助金额:$0.0万
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财政年份:2016
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负责人:Professor Dr. Klaus U. Schulz
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依托单位:
Domänen- und dokumentenadaptive Verfahren zur Nachkorrektur von OCR-Ergebnissen
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批准号:5419670
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:2004
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负责人:Professor Dr. Klaus U. Schulz
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依托单位:
Erweiterung eines Abfragemodells für XML-Daten zur interaktiven Exploration
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批准号:5231068
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:2000
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负责人:Professor Dr. Klaus U. Schulz
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依托单位:
海外基金