@inproceedings{vella-etal-2024-towards,
    title = "Towards a Corpus of Spoken {M}altese: Korpus tal-Malti Mitkellem, {KMM}",
    author = "Vella, Alexandra (Sandra)  and
      Agius, Sarah  and
      Williams, Aiden  and
      Borg, Claudia",
    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.1420",
    pages = "16343--16352",
    abstract = "This paper presents the rationale for a {``}dedicated{''} corpus of spoken Maltese, Korpus tal-Malti Mitkellem, KMM, {`}Corpus of Spoken Maltese{'}, based on the concept of a gold-standard Core collection. The Core collection is designed to cater to as wide a variety of user needs as possible whilst respecting basic principles governing corpus design, such as representativeness and balance, and delivering high quality in terms of both audio quality and annotations. An overview is provided of the composition of the current Core corpus of around 20 hours of data and of the human annotation effort involved. We also carry out a small qualitative analysis of the output of a Maltese ASR system and compare it to the human annotators{'} output. Initial results are promising, showing that the ASR is robust enough to generate first-pass texts for annotators to work on, thus reducing the human effort, and consequently, the cost involved.",
}

This paper presents the rationale for a {``}dedicated{''} corpus of spoken Maltese, Korpus tal-Malti Mitkellem, KMM, {`}Corpus of Spoken Maltese{'}, based on the concept of a gold-standard Core collection. The Core collection is designed to cater to as wide a variety of user needs as possible whilst respecting basic principles governing corpus design, such as representativeness and balance, and delivering high quality in terms of both audio quality and annotations. An overview is provided of the composition of the current Core corpus of around 20 hours of data and of the human annotation effort involved. We also carry out a small qualitative analysis of the output of a Maltese ASR system and compare it to the human annotators{'} output. Initial results are promising, showing that the ASR is robust enough to generate first-pass texts for annotators to work on, thus reducing the human effort, and consequently, the cost involved.
Vella, Alex ra (S ra) Agius, Sarah Williams, Aiden Borg, Claudia
Towards a Corpus of Spoken Maltese: Korpus tal-Malti Mitkellem, KMM