Projects per year
Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 578-603 |
| Number of pages | 26 |
| Journal | Urban History |
| Volume | 52 |
| Issue number | 4 |
| DOIs | |
| Publication status | E-pub ahead of print - 27 Dec 2024 |
Funding
The research for this article was funded by a grant from the Dutch Research Council NWO; the publication of the data collection was also supported by grants from the Leiden University Fund LUF, the Gratama Foundation and CLUE+ at VU University.
| Funders | Funder number |
|---|---|
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
| Universiteit Leiden | |
| Gratama Stichting | |
| Vrije Universiteit Amsterdam |
Keywords
- Chronicles
- early modern history
- History of the Low Countries
- History of knowledge
Fingerprint
Dive into the research topics of 'Profiling local chroniclers in the early modern Low Countries'. Together they form a unique fingerprint.Projects
- 1 Finished
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Chronicling Novelty. New knowledge in the Netherlands, 1500-1850.
Kuijpers, E. (Principal Investigator), Morante Vallejo, R. (Project Researcher) & Romein, A. (Project Researcher)
1/01/19 → 31/03/24
Project: Research
Research output
- 1 Conference contribution
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The Kronieken Corpus: an Annotated Collection of Dutch/Flemish Chronicles from 1500–1850
Dekker, T., Kuijpers, E., Lassche, A., Lenarduzzi, C., Morante, R. & Pollmann, J., 2024, Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024). Bizzoni, Y., Degaetano-Ortlieb, S., Kazantseva, A. & Szpakowicz, S. (eds.). Association for Computational Linguistics (ACL), p. 243-252 11 p.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open Access
Datasets
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Chroniclingnovelty/chronicles-datasets: kronieken dataset
Dekker, T. (Creator), Kuijpers, E. (Creator), Lassche, A. (Creator), Lenarduzzi, C. (Creator), Morante Vallejo, R. (Creator) & Pollmann, J. (Creator), Zenodo, 16 Aug 2024
DOI: 10.5281/zenodo.13332815, https://doi.org/10.5281/zenodo.13332815.
Dataset / Software: Dataset