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Published January 29, 2024 | Version 1.0.4
Dataset Open

AlpiLinK Corpus 1.0.4

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 Siena
  • 4. University of Turin
  • 5. University of Trento
  • 6. Free University of Bozen-Bolzano
  • 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 and Romance 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) and Romance (Francoprovençal, Friulian, Ladin, Lombard, Occitan, Piemontese, Trentino, and Veneto dialects). The data collection took place from June 2023 to December 2023.

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. 2024. AlpiLinK Corpus 1.0.4. In collaboration with Paolo Benedetto Mas, Sabrina Bertollo, Jan Casalicchio, Raffaele Cioffi, Patrizia Cordin, Michele Cosentino, Silvia Dal Negro, Alexander Glück, Joachim Kokkelmans, Adriano Murelli, Andrea Padovan, Aline Pons, Matteo Rivoira, Marta Tagliani, Caterina Saracco, Emily Siviero, Alessandra Tomaselli, Ruth Videsott, Alessandro Vietti & Barbara Vogt. DOI:10.5281/zenodo.10533936.

When using a specific data point 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)