Konsequenzen der Handschriftenerkennung und des maschinellen Lernens für die Geschichtswissenschaft. Anwendung, Einordnung und Methodenkritik

Hodel, Tobias (2022). Konsequenzen der Handschriftenerkennung und des maschinellen Lernens für die Geschichtswissenschaft. Anwendung, Einordnung und Methodenkritik (In Press). Historische Zeitschrift De Gruyter Oldenbourg

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The ability to read historical manuscripts has been part of the auxiliary scientific method apparatus for centuries; automated handwritten text recognition thus corresponds to a potential facilitation of work that opens up new perspectives for history. In order to assess the technology and its potential, we will explain which factors are crucial for successful recognition and how the results can be further processed. By means of machine or deep learning, however, the method apparatus is also extended by a learning procedure that relies on large amounts of data and adopts valuations from the underlying data, which often leads to undesired side effects. Handwritten text recognition can thus be used to experience and critically evaluate a technology that is currently finding its way into various areas of science and our daily lives.

Item Type:

Journal Article (Original Article)

Division/Institute:

06 Faculty of Humanities > Other Institutions > Walter Benjamin Kolleg (WBKolleg) > Digital Humanities
06 Faculty of Humanities > Other Institutions > Walter Benjamin Kolleg (WBKolleg)

UniBE Contributor:

Hodel, Tobias Mathias

Subjects:

900 History

ISSN:

2196-680X

Publisher:

De Gruyter Oldenbourg

Language:

German

Submitter:

Tobias Mathias Hodel

Date Deposited:

30 Sep 2022 09:52

Last Modified:

30 Sep 2022 09:52

BORIS DOI:

10.48350/173343

URI:

https://boris.unibe.ch/id/eprint/173343

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