Digital Humanities Projects

Time Project Description
Sep. 2019 – Jul. 2024 Ph.D. Project “Raise Your Voice” Definition of “fictional sound and loudness” as narrative phenomena in literary studies, development of a taxonomy system for fictional sounds and guidelines for the annotation of sound events and loudness levels in 19th-century German-language fiction, coordination and supervision of student annotators, evaluation of annotations and data quality assessment, automation of the annotation using machine learning methods trained on gold annotations (German BERT model (Chan et al. 2020)) combined with a dictionary approach, diachronic analysis of sound and loudness on the 1.227 literary prose texts corpus “theme-d-Prose” (Guhr 2024):
  • Guhr, S. Raise Your Voice – Character Sound in German-Language Fiction. Digitale Literaturwissenschaft. Berlin, Heidelberg: J.B. Metzler, accepted/in production.
  • Guhr, S. “Guidelines for Sound Word and Sound Event Annotation.” GitHub, 2024.
  • Guhr, S. “theme-d-Prose 1848-1920. German-Language Literary Fiction Corpus.” Zenodo, 2024. DOI: 10.5281/zenodo.12666499 [CC BY-NC-SA 4.0]
  • Please find here the corpus metadata table as SQL searchable database
Since Sep. 2022 Annotation Project “Modeling Domestic Space in 19th-Century British Fiction” Development of guidelines for the annotation of domestic space in 19th-century British fiction, evaluation of annotations, and automation of the annotation process using machine learning methods trained on gold annotations (BERT model (Devlin et al. 2019)):
  • Sherman, A. J., S. Guhr, J. M. Monaco, and M. Algee-Hewitt. “A Home without a ‘House’. Modeling Domestic Space in 19th-Century British Fiction.” In Book of Abstracts of the ADHO Annual Conference. Washington D.C., 2024.
Aug. 2022 – Jul. 2023 Project Lead of Annotation Project “Sound and Suspense” Development of guidelines for the annotation of ambient sounds in 19th-century British fiction, coordination and supervision of student annotators, evaluation of annotations, automation of the annotation process using machine learning methods trained on gold annotations:
  • Guhr, S., and M. Algee-Hewitt. “What’s That Scary Sound? Ambient Sound in Gothic Fic- tion.” Journal of Computational Literary Studies 2, no. 1, 1-28, 2024.
  • Guhr, S. “Guidelines for Ambient Sound Annotation.” GitHub, 2023.