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OCR quality and the resilience of algorithmic identification of linguistic register features in Eighteenth Century Collections Online

Authors: Aatu Liimatta;

OCR quality and the resilience of algorithmic identification of linguistic register features in Eighteenth Century Collections Online

Abstract

Country
Finland
Related Organizations
Keywords

optical character recognition, AZ20-999, corpus linguistics, Languages, register analysis, History of scholarship and learning. The humanities, multi-dimensional analysis, Bibliography. Library science. Information resources, Z

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    influence
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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
Average
Average
Green
Published in a Diamond OA journal
Related to Research communities