@inproceedings{stosic-etal-2024-parcolab,
    title = "The {P}ar{C}o{L}ab Parallel Corpus and Its Extension to Four Regional Languages of {F}rance",
    author = "Stosic, Dejan  and
      Marjanovi{\'c}, Sa{\v{s}}a  and
      Bernhard, Delphine  and
      Bach, Xavier  and
      Bras, Myriam  and
      Kevers, Laurent  and
      Retali-Medori, Stella  and
      Vergez-Couret, Marianne  and
      Werner, Carole",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1392",
    pages = "16014--16023",
    abstract = "Parallel corpora are still scarce for most of the world{'}s language pairs. The situation is by no means different for regional languages of France. In addition, adequate web interfaces facilitate and encourage the use of parallel corpora by target users, such as language learners and teachers, as well as linguists. In this paper, we describe ParCoLab, a parallel corpus and a web platform for querying the corpus. From its onset, ParCoLab has been geared towards lower-resource languages, with an initial corpus in Serbian, along with French and English (later Spanish). We focus here on the extension of ParCoLab with a parallel corpus for four regional languages of France: Alsatian, Corsican, Occitan and Poitevin-Saintongeais. In particular, we detail criteria for choosing texts and issues related to their collection. The new parallel corpus contains more than 20k tokens per regional language.",
}

Parallel corpora are still scarce for most of the world{'}s language pairs. The situation is by no means different for regional languages of France. In addition, adequate web interfaces facilitate and encourage the use of parallel corpora by target users, such as language learners and teachers, as well as linguists. In this paper, we describe ParCoLab, a parallel corpus and a web platform for querying the corpus. From its onset, ParCoLab has been geared towards lower-resource languages, with an initial corpus in Serbian, along with French and English (later Spanish). We focus here on the extension of ParCoLab with a parallel corpus for four regional languages of France: Alsatian, Corsican, Occitan and Poitevin-Saintongeais. In particular, we detail criteria for choosing texts and issues related to their collection. The new parallel corpus contains more than 20k tokens per regional language.
Stosic, Dejan Marjanovi{\'c}, Sa{\v{s}}a Bernhard, Delphine Bach, Xavier Bras, Myriam Kevers, Laurent Retali-Medori, Stella Vergez-Couret, Marianne Werner, Carole
The ParCoLab Parallel Corpus and Its Extension to Four Regional Languages of France