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Edition historischer Patiententexte mit Präsenz im Deutschen Textarchiv und DWDS

Authors: Brolich, Nina; Schiegg, Markus; Wiegand, Frank;

Edition historischer Patiententexte mit Präsenz im Deutschen Textarchiv und DWDS

Abstract

Das Poster illustriert anhand einer Edition historischer Patiententexte, wie Editionsprojekte mit konsequenter Nutzung etablierter Tools und vorhandener technischer Infrastrukturen auch ohne eigenen Technologiestack über Institutionen verteilt arbeiten und ihre Ergebnisse nachnutzbar präsentieren können. Als Datengrundlage dient das in der Erlanger Nachwuchsforschungsgruppe "Flexible Schreiber in der Sprachgeschichte" entstandene Korpus historischer Patiententexte (CoPaDocs; ca. 1850–1940). Dieses ist im XML/TEI-Format aufbereitet und umfasst über 4.500 Texte aus unterschiedlichen Regionen Deutschlands und Großbritanniens – überwiegend nicht abgeschickte Briefe von Patientinnen und Patienten, aber auch Lebensläufe, Notizen, sowie Briefe ihrer Angehörigen. Die Edition greift auf etablierte, zuverlässige und in der Community breit adaptierte Plattformen wie GitHub zurück, wo die CoPaDocs-Daten zugänglich sind. Für die dynamische Komponente der Volltextsuche über die Editionsinhalte werden die offenen Schnittstellen der Korpusinfrastruktur des Digitalen Wörterbuchs der deutschen Sprache (DWDS) in Verbindung mit der Software zur Normalisierung historischer Schreibweisen des Deutschen Textarchivs (DTA) genutzt.

Keywords

Paper, Sprache, Linguistik, Infrastruktur, Edition, DHd2024, Textkorpus, Sammlung, Stilistische Analyse, TEI, Kollaboration, Posterpräsentation, Transkription

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
0
Average
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Average
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