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https://doi.org/10.25366/2020....
Article . 2020 . Peer-reviewed
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Algorithmische Automatisierung komplexer Notationsregeln in MEI-XML am Beispiel von Versetzungszeichen

Authors: Sapov, Oleksii;

Algorithmische Automatisierung komplexer Notationsregeln in MEI-XML am Beispiel von Versetzungszeichen

Abstract

Algorithmic automation of the complex music notation rules in MEI–XML through the example of the accidentals: The article demonstrates how music notation rules can be formalized into a computer algorithm. In particular, it handles the rule, whether the accidentals should be rendered or not when they repeat on the notes of the same pitch in the same measure. The decision process is described step-by-step while referring to the music notation rules. The algorithm was implemented in the XSLT-language for the needs of the Digital Interactive Mozart Edition and can be applied to MEI data. The tool can be downloaded from <https://github.com/ismdme/DIME-tools>.

Keywords

info:eu-repo/classification/ddc/780, MEI, XML, Musiknotation, Versetzungszeichen, ddc:780

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citations
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
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bronze