other · Zenodo (CERN European Organization for Nuclear Research) · 2025
CO.RA.PAN Web Application
Tacke, Felix
Cited by 0Open access
Abstract
The CO.RA.PAN Web Application is the software platform that provides public,research-oriented access to the Corpus Radiofónico Panhispánico (CO.RA.PAN).The application includes modules for corpus search, synchronized audio–textplayback, metadata filtering, statistical summaries, and geolinguisticvisualization. It integrates BlackLab Server for high-performance linguistic search over thestructured transcript data of the CO.RA.PAN corpus. The underlying corpusinfrastructure is based on JSON-formatted transcripts created through theproject’s data pipeline (ASR-based transcription, manual quality control,segmentation, and automated linguistic annotation using spaCy). The webapplication itself does not generate these JSON files; it provides user accessto the data through a unified analytical interface. This Zenodo record provides the DOI for the software component only. The corpusdata (audio and transcripts) are available under restricted access in aseparate Zenodo dataset due to copyright constraints.
Cite this paper
Tacke, F. (2025). CO.RA.PAN Web Application. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.17833204
Tacke, Felix. “CO.RA.PAN Web Application.” Zenodo (CERN European Organization for Nuclear Research), 2025, https://doi.org/10.5281/zenodo.17833204.
Tacke, Felix. 2025. “CO.RA.PAN Web Application.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.17833204.
Tacke, F. (2025) ‘CO.RA.PAN Web Application’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.17833204.
@misc{tacke2025application,
title = {{CO.RA.PAN Web Application}},
author = {Tacke, Felix},
journal = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2025},
doi = {10.5281/zenodo.17833204}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.