@inproceedings{mechler-etal-2026-transcription,
    title = "Transcription Accuracy in the {I}celandic {G}igaword Corpus: Evaluating Automatic and Manual Annotation",
    author = {Mechler, Johanna  and
      Stef{\'a}nsd{\'o}ttir, Lilja Bj{\"o}rk  and
      Ingason, Anton Karl},
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/cawl-year/2026.lrec-1.373/",
    doi = "10.63317/4f2rpzig5h8p",
    pages = "4757--4764",
    abstract = "This paper aims to compare automatic and manually corrected annotation data in the Icelandic Gigaword Corpus. We focus on the variable use of Stylistic Fronting (SF) in Icelandic, an optional movement of words or phrases, which indicates a more formal style. Examining SF rates across time, we find that manual coding results in slightly lower SF rates than automatic coding. This difference can be explained by the different sources used in the coding process: For automatic coding, written transcripts compiled by parliament employees are used, and for manual correction, coding relies on audio files of the parliament speeches. Importantly, both types of coding are well suited to trace changing patterns of SF over a span of 16 years, suggesting that the automatic feature extraction reliably reflects the speeches that have been transcribed."
}