From Annotation to Modeling: Computational Horizons for Medieval Slavic Studies
Abstract/Contents
- Abstract
- This paper is a write-up of a keynote from El’Manuscript 2021, reflecting on the ways in which the field of computationally-supported medieval Slavic studies has and has not changed since the mid-2000’s. Looking towards developments in the broader fields of digital humanities and natural-language processing, it explores the ways that recent improvements in the tools at our disposal for mass digitization of manuscripts and text analysis at scale open up possibilities for working with manuscripts that have received very little attention. For these advancements to be feasible, however, scholars will need to prepare and share their digitized texts and annotations in ways that are not currently the norm, though a number of projects provide exemplary models of how these new conventions could be put into practice.
Description
| Type of resource | text |
|---|---|
| Publication date | September 8, 2023; November 20, 2021 |
Creators/Contributors
| Author | Dombrowski, Quinn |
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Subjects
| Subject | Handwritten text recognition |
|---|---|
| Subject | Digitization |
| Subject | Natural language processing |
| Subject | Treebanks (Linguistics) |
| Subject | Digital humanities |
| Genre | Text |
| Genre | Article |
Bibliographic information
| Related item |
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| DOI | https://doi.org/10.25740/np355yt1923 |
| Location | https://purl.stanford.edu/np355yt1923 |
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- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Dombrowski, Q. (2023). From Annotation to Modeling: Computational Horizons for Medieval Slavic Studies. Stanford Digital Repository. Available at https://purl.stanford.edu/np355yt1923. https://doi.org/10.25740/np355yt1923.
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- qad@stanford.edu
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