CalDraCor v3.0.0

The Calderón Drama Corpus (CalDraCor) project began in 2019 through a collaboration between the Seminar of Romance Studies and the Center for Digital Humanities at the University of Tübingen. The first release of the corpus was curated mainly by Hanno Ehrlicher, Jörg Lehmann and Simon Kroll.

Early in 2023, under the DFG-funded project Tracing Regularities in Pedro Calderón de la Barca’s Dramatic Oeuvre with a Computational Approach, researchers from Tübingen and Stuttgart joined forces to prepare the corpus for linguistic and network analysis. Version v3.0.0 of CalDraCor consolidates this work and introduces a new round of normalisation, metadata enrichment, and schema-oriented clean-up.

This version of CalDraCor contains the following main features:

• normalisation of <sourceDesc> in CalDraCor TEI files to comply with the DraCor schema, by separating digitalSource and originalSource and encoding only bibliographic data explicitly present in the source

• transfer of non-bibliographic statements to <note>, improving API extraction of originalSourceYear, originalSourcePubPlace, originalSourcePublisher, and, where available, originalSourceNumberOfPages

• updated Wikidata enrichment workflow for TEI files: instead of writing QIDs into persName/@ref, identifiers and classification metadata are now inserted directly as children of <person>

• insertion, where applicable, of <idno type="wikidata">, <idno type="alternative_wikidata">, <trait type="role">, and <trait type="secondary_role">

• clearer distinction between stable character identity and secondary interpretive classification, resulting in cleaner and more explicit TEI encoding

• further adjustments to comply with the current DraCor schema

• addition of reusable maintenance and transformation scripts to support transparent and reproducible corpus curation

• minor corrections to traits, formatting, and file consistency

Taken together, v3.0.0 makes CalDraCor more robust, interoperable, and reusable for both philological research and computational analysis.