Published February 4, 2026 | Version 1.2.1
Dataset Open

AlpiLinK Corpus 1.2.1

Authors/Creators

  • 1. University of Verona
  • 2. Free University of Bozen-Bolzano
  • 3. University of Trento
  • 4. University of Turin
  • 5. University of Aosta Valley

Contributors

  • 1. University of Aosta Valley
  • 2. University of Verona
  • 3. ROR icon University of Trento
  • 4. ROR icon Free University of Bozen-Bolzano
  • 5. ROR icon University of Turin
  • 6. ROR icon University of Siena
  • 7. University of L'Aquila

Description

The AlpiLinK (Alpine Languages in Contact) Corpus is a corpus of spoken language based on crowdsourced linguistic data composed of audio recordings and in a smaller part of multiple choice and written responses. The data is being collected during the AlpiLinK project (https://alpilink.it/). AlpiLinK aims to gather numerically relevant information about the Germanic, Romance and Slavic dialects and minority languages spoken across the Alpine regions of Italy with particular focus on the so-called 'language contact' between Germanic (Cimbrian, Mòcheno, Saurano, Sappadino, Tyrolean, Timavese, Kanaltal and Walser German), Romance (Francoprovençal, Friulian, Ladin, Lombard, Occitan, Piemontese, Trentino, and Veneto dialects) and Slavic (Resian). The data collection took place from June 2023 to July 2025.

Notes

Please cite this version of the corpus in the following way: Rabanus Stefan, Anne Kruijt, Birgit Alber, Ermenegildo Bidese, Livio Gaeta, and Gianmario Raimondi. 2025. AlpiLinK Corpus 1.2.1. In collaboration with Paolo Benedetto Mas, Sabrina Bertollo, Serena Bissolo, Angelica Bonelli, Dario Capelli, Jan Casalicchio, Raffaele Cioffi, Patrizia Cordin, Silvia Dal Negro, Ilaria Driussi, Sara Erriu, Alexander Glück, Joachim Kokkelmans, Adriano Murelli, Andrea Padovan, Aline Pons, Matteo Rivoira, Marta Tagliani, Caterina Saracco, Alessandra Tomaselli, Ruth Videsott, Alessandro Vietti & Barbara Vogt. DOI:10.5281/zenodo.15524879.

When using a specific piece of data in a publication or presentation, please also cite the file name (e.g. I01_pms_U0026; T05_wae_U0059).

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Additional details

Related works

References
Dataset: 20.500.12124/74 (Handle)