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Automatische Texterkennung von Handschriften und historischen Drucken - Qualität und Normierung von Ground-Truth-Daten in der Praxis

Authors: Huff, Dorothee; Will, Larissa; Stöbener, Kristina;

Automatische Texterkennung von Handschriften und historischen Drucken - Qualität und Normierung von Ground-Truth-Daten in der Praxis

Abstract

Automatische Texterkennung (OCR) übersetzt textliche Bildinhalte in digitale Textformate. Auf diese Weise werden der Zugang zu historischen Drucken und Handschriften erhöht und neue Forschungsfragen an das Material ermöglicht. Vor der wissenschaftlichen Auswertung der Daten gilt es jedoch, sich über Aspekte wie Qualität und Normierung der Ground-Truth-Daten und des erzeugten Outputs bewusst zu werden, diese zu hinterfragen und bei der Nachnutzung der Daten in Betracht zu ziehen. Anhand von Beispielen sollen unterschiedliche Vorgehensweisen bei der Erzeugung von Ground-Truth-Daten sowie Ergebnisse der jeweiligen Modelltrainings vorgestellt und problematisiert werden.

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Germany
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Keywords

Automatische Texterkennung, OCR, 020, ATR, Transkribus, Vortrag, Ground Truth, Texterkennung, HTR, Paläographie, FORGE2023, Ground-Truth-Daten, eScriptorium

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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