@inproceedings{del-grosso-etal-2024-impact,
    title = "The Impact of Digital Editing on the Study of Holocaust Survivors{'} Testimonies in the context of Voci dall{'}Inferno Project",
    author = "Del Grosso, Angelo Mario  and
      Riccucci, Marina  and
      Mercatanti, Elvira",
    editor = "Anuradha, Isuri  and
      Wynne, Martin  and
      Frontini, Francesca  and
      Plum, Alistair",
    booktitle = "Proceedings of the First Workshop on Holocaust Testimonies as Language Resources (HTRes) @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.htres-1.1",
    pages = "1--9",
    abstract = "In Nazi concentration camps, approximately 20 million people perished. This included young and old, men and women, Jews, dissidents, and homosexuals. Only 10{\%} of those deported survived. This paper introduces {``}Voci dall{'}Inferno{''} project, which aims to achieve two key objectives: a) Create a comprehensive digital archive: by encoding a corpus of non-literary testimonies including both written and oral sources. b) Analyze the use of Dante{'}s language: by identifying the presence of Dante{'}s lexicon and allusions. Currently, the project holds 47 testimonies, with 29 transcribed in full text and 18 encoded using the XML-TEI format. This project is propelled by a multidisciplinary and educational context with experts in humanities and computer science. The project{'}s findings will be disseminated through a user-friendly web application built on an XML foundation. Though currently in its prototyping phase, the application boasts several features, including a search engine for testimonies, terms, or phrases within the corpus. Additionally, a browsing interface allows users to read and listen the original testimonies, while a visualization tool enables deeper exploration of the corpus{'}s content. Adhering to the Text Encoding Initiative (TEI) guidelines, the project ensures a structured digital archive, aligned with the FAIR principles for data accessibility and reusability.",
}