Bridging the Gap: Demonstrating the Applicability of Linguistic Analysis Tools in Digital Musicology

Sebastian Oliver Eck


Abstract
This study introduces the novel concepts of Explicit and Implicit Musical Parameters (EMPs and IMPs) and demonstrates their application in digital musicology. Furthermore, it discusses the concept of ‘musical words’, that suggests representing explicit and implicit musical parameters as words or textual entities. This ‘music-to-text’ approach allows the application of advanced techniques and tools commonly used within the computational linguistics for the analysis of musical data, highlighting the structural parallels between music and language. Lastly, the findings of this paper not only illustrate the feasibility of this approach but also pave the way for further interdisciplinary studies and the advancement of analytical user-friendly tools that are applicable in both computational linguistics and digital musicology.
Anthology ID:
2023.nlp4dh-1.28
Volume:
Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages
Month:
December
Year:
2023
Address:
Tokyo, Japan
Editors:
Mika Hämäläinen, Emily Öhman, Flammie Pirinen, Khalid Alnajjar, So Miyagawa, Yuri Bizzoni, Niko Partanen, Jack Rueter
Venues:
NLP4DH | IWCLUL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
248–265
Language:
URL:
https://aclanthology.org/2023.nlp4dh-1.28
DOI:
Bibkey:
Cite (ACL):
Sebastian Oliver Eck. 2023. Bridging the Gap: Demonstrating the Applicability of Linguistic Analysis Tools in Digital Musicology. In Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages, pages 248–265, Tokyo, Japan. Association for Computational Linguistics.
Cite (Informal):
Bridging the Gap: Demonstrating the Applicability of Linguistic Analysis Tools in Digital Musicology (Eck, NLP4DH-IWCLUL 2023)
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PDF:
https://aclanthology.org/2023.nlp4dh-1.28.pdf