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    • Welcome to this website
    • What drives us
    • Who we are
    • Supporting Partners
    • Contact
    • Member login
    • About
  • Research domains
    • Oral History
    • Computational Linguistics
    • Sociolinguistics
    • Language and Speech Technology
  • Tech & Tools
    • Technologies and tools for speech data
    • Automatic Speech Recognition
    • ASR Tools
    • Forced Alignment
    • Transcription
    • Emo-Spectre
    • Qualitative Data Analysis
    • Computational Linguistics
    • Subtitles
    • Software developed by our team
    • Recordings
  • Workshops
    • OH-SMArt
    • EMLAR 2024
    • EHRI 2022
    • ICMI 2020
    • CLARIAH OH Workshop 2019
    • CLARIN Workshop Sofia 2019
    • DH2019 Workshop
    • München Workshop 2018
    • Arezzo Workshop 2017
    • Utrecht Workshop 2016
    • Oxford Workshop 2016
  • Publications
  • Transcription Portal
  • Guidelines
    • Converting Audio
    • Metadata Schemas
    • New Digital Recordings
  • News
  • Data

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Publications

Our most salient publications and webinar.

Our Papers

Silvia Calamai, Arjan van Hessen,Stefania Scagliola, Christoph Draxler, and Henk van den Heuvel. Voci di Donne dall'inferno di Ravensbrück. An Italian publication in the national newspaper "Corriere della Sera" (22-Januari-2023): See on this website 

Stefania Scagliola, Silvia Calamai, Fabio Ardolino, Christoph Draxler, Henk van den Heuvel and Arjan van Hessen, Voices from Ravensbrück. A feasibility study towards the creation of multilingual oral archives , AISV XVIII Conference Associazione Italiana di Scienze della Voce (AISV), Università degli Studi di Napoli "Federico II" Napoli, 2-4 May 2022

The interviews and transcripts are uploaded in the Language Archive’s Nextcloud drive:  https://archive.mpi.nl/nextcloud/

S. Calamai, “I confini del parlato traumatico”, LV International Conference Società di Linguistica Italiana (SLI) – Bressanone, 8-10 settembre 2022

Ardolino, F., & Calamai, S. (2022). Isolamento linguistico e strategie comunicative a Ravensbrück: le testimonianze dall’archivio sonoro di Anna Maria Bruzzone.
L’Analisi Linguistica E Letteraria, 31(2), pp. 59-82.

Calamai, S., Scagliola, S., Ardolino, F., Draxler, Chr., Van Hessen, A., Van den Heuvel, H. (2022)
Ravensbrück Interviews: How to Curate Legacy Data to Make it CLARIN Compliant.
In: Monachini, M, Eskevich, M. (eds). Selected Papers from the CLARIN Annual Conference 2021
Series: Linköping Electronic Conference Proceedings 189. ISBN: 978-91-7929-444-1. ISSN: 1650-3686 (print), 1650-3740 (online)
DOI: https://doi.org/10.3384/9789179294441

Calamai, S., Beeken, J., Scagliola, S., Broekhuizen, M., Draxler, Chr., Van Hessen, A., Van den Heuvel, H. (2021) Voices from Ravensbrück. Towards the creation of an oral and multilingual resource family This website

Draxler, C., Van den Heuvel. H., Van Hessen, A., Calamai, S., Corti, L., Scagliola, S. (2020)
A CLARIN Transcription Portal for Interview Data.
Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC2020).
pp. 3346‑3352, LREC website

Van Hessen, A., Calamai, S., Van den Heuvel, H., Scagliola, S., Karrouche, N., Beeken, J., Corti, L., Draxler, C. 2020.
Speech, Voice, Text, and Meaning: A Multidisciplinary Approach to Interview Data through the use of digital tools.
In: Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI ’20 Companion), October 25–29, 2020,
Virtual event, Netherlands. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3382507.3420054

Heuvel, H. van den, Draxler, C., Hessen, A. van, Corti, L., Scagliola, S., Calamai, S., Karouche, N. (2019)
A Transcription Portal for Oral History Research and Beyond.
Digital Humanities 2019, Utrecht, 9-12 July 2019. Link

Stefania Scagliola, Louise Corti, Silvia Calamai, Norah Karrouche, Jeannine Beeken, Arjan van Hessen, Christoph Draxler, Henk van den Heuvel, and Max Broekhuizen (2019)
Cross disciplinary overtures with interview data: Integrating digital practices and tools in the scholarly workflow
Proceedings CLARIN Annual Conference, Leipzig, October 2019.

Scagliola, S., Corti, L., Calamai, S., Karrouche, N., Beeken, J., Van Hessen, A., Draxler, Chr., Van den Heuvel, H., Broekhuizen, M., Truong, K. (2020)
Cross disciplinary overtures with interview data: Integrating digital practices and tools in the scholarly workflow.
In: Simov, K., & Eskevich, M.: Selected Papers from the CLARIN Annual Conference 2019 Leipzig, 30 September - 2 October 2019.
Linköping Electronic Conference Proceedings 172:15, pp. 126-136.https://doi.org/10.3384/ecp2020172.

In the media

 

Gloria Peruzzi. Non volevamo morire»: la memoria, l’inferno Salvate qui le voci dell’ultimo lager della Segre. An Italian newspaper article in "La Nazione" (29-Januari-2023): See on this website

Simone Siliani. Voci da Ravensbrück, voci per non dimenticare. An Italian article in "Cultura Commestibile" (28-Januari-2023): See on this website

 

Presentations

iconpdfCLARIN 2023 - Presentation Ravensbrück poster

iconpdf CLARIN Café 2022 (December)

iconpdfCLARIN 2022 - Presentation Ravensbrück poster

iconpdf AISV 2022 - Presentation of "the Voices from Ravensbrück", Napoli (It)

iconpdf CLARIN 2021 - Presentation Ravensbrück

iconpdf ICMI 2020 - Short paper describing presentation

iconpdf CLARIAH 2019 - Presentation

iconpdf DH 2019 - Presentation

iconpdf München 2018 - Intro presentation

iconpdf Oxford 2016 - Intro presentation

 

Zenodo

November 18, 2021 (1) Dataset restricted Access

Cinema & Civiltà corpus

Roberta Bianca Luzietti; Niccolò Pretto; Sergio Canazza; Frédéric Kaplan; Alain Dufaux; Alessandra Origani; Ilenia Maschietto; Costanza Blaskovic;

The corpus material is composed of eight .xml files containing the transcriptions of the Cinema & Civiltà conference recordings obtained from the digitized form; see Luzietti, R.B., Pretto, N., Kaplan, F., Dufaux, A., Canazza, S. (2021). FONTI 4.0: evaluating speech-to-text automatic

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March 2, 2020 (v1) Presentation open Access

SSHOC Webinar: CLARIN Hands-on Tutorial on Transcribing Interview Data

Henk van den Heuvel; Christoph Draxler;

A high-quality orthographic transcript is the basis for all types of analyses of spoken language data. However, transcribing speech is a time-consuming and tedious task. But automatic speech recognition as well as NLP and text annotation tools can make this task much quicker and save you a lot of time.

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October, 2019 Presentations

Van Hessen, A., Draxler, Chr., Van den Heuvel, H., Corti, L., Beeken, J., Calamai, S., Karrouche, N. (2019, October).
The Case Of Interview Data: A multidisciplinary approach to the use of technology in research using interview methods (Version 1.0).
Zenodo.http://doi.org/10.5281/zenodo.3521373