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Handwritten Text Recognition und Word Mover's Distance als Grundlagen der digitalen Edition "Die Kindheit Jesu Konrads von Fußesbrunnen"

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Mar 2022Publisher:Zenodo
Authors: Tomasek, Stefan; Reul, Christian; Wehner, Maximilian;

doi: 10.5281/zenodo.6328198 , 10.5281/zenodo.6328199

Handwritten Text Recognition und Word Mover's Distance als Grundlagen der digitalen Edition "Die Kindheit Jesu Konrads von Fußesbrunnen"

Abstract

"Zur Zeit entsteht an der JMU Würzburg in einem Kooperationsprojekt zwischen dem Lehrstuhl für ältere deutsche Philologie und dem Zentrum für Philologie und Digitalität ein HTR-Projekt (Handwritten Text Recognition) zur Erfassung mittelhochdeutscher (mhd.) und frühneuhochdeutscher (frnhd.) Handschriften (Hss.) des 11.-15. Jh.s. Das Würzburger HTR-Projekt ist verzahnt mit dem digitalen Editionsprojekt der "Kindheit Jesu Konrads von Fußesbrunnen" (KJ). Im Editionsprojekt wird die vollständige Überlieferungssituation des Textes synoptisch abgebildet. Um diese Synopse lesbar zu halten, soll mit Hilfe von Levenshtein-Distanzen (LevD) und einem Word-Embedding-Verfahren ein Filtersystem ermöglicht werden, mit dem die Genauigkeit des Anzeigemodus' von den BenutzerInnen der Edition selbst festgelegt werden kann. " Ein Beitrag zur 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2022 Kulturen des digitalen Gedächtnisses.

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Keywords

OCR, Strukturanalyse, digitale Edition, Datenerkennung, HTR, DHd2022, Stilistische Analyse, Visualisierung, Transkription

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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.
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influence
This indicator 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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impulse
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