@inproceedings{jauhiainen-etal-2024-investigating,
    title = "Investigating Multilinguality in the Plenary Sessions of the Parliament of {F}inland with Automatic Language Identification",
    author = "Jauhiainen, Tommi  and
      Piitulainen, Jussi  and
      Axelson, Erik  and
      Dieckmann, Ute  and
      Lennes, Mietta  and
      Niemi, Jyrki  and
      Rueter, Jack  and
      Lind{\'e}n, Krister",
    editor = "Fiser, Darja  and
      Eskevich, Maria  and
      Bordon, David",
    booktitle = "Proceedings of the IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (ParlaCLARIN) @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.parlaclarin-1.8",
    pages = "48--56",
    abstract = "In this paper, we use automatic language identification to investigate the usage of different languages in the plenary sessions of the Parliament of Finland. Finland has two national languages, Finnish and Swedish. The plenary sessions are published as transcriptions of speeches in Parliament, reflecting the language the speaker used. In addition to charting out language use, we demonstrate how language identification can be used to audit the quality of the dataset. On the one hand, we made slight improvements to our language identifier; on the other hand, we made a list of improvement suggestions for the next version of the dataset.",
}

In this paper, we use automatic language identification to investigate the usage of different languages in the plenary sessions of the Parliament of Finland. Finland has two national languages, Finnish and Swedish. The plenary sessions are published as transcriptions of speeches in Parliament, reflecting the language the speaker used. In addition to charting out language use, we demonstrate how language identification can be used to audit the quality of the dataset. On the one hand, we made slight improvements to our language identifier; on the other hand, we made a list of improvement suggestions for the next version of the dataset.
Jauhiainen, Tommi Piitulainen, Jussi Axelson, Erik Dieckmann, Ute Lennes, Mietta Niemi, Jyrki Rueter, Jack Lind{\'e}n, Krister
Investigating Multilinguality in the Plenary Sessions of the Parliament of Finland with Automatic Language Identification