Gos 2: A New Reference Corpus of Spoken Slovenian

Darinka Verdonik, Kaja Dobrovoljc, Tomaž Erjavec, Nikola Ljubešić


Abstract
This paper introduces a new version of the Gos reference corpus of spoken Slovenian, which was recently extended to more than double the original size (300 hours, 2.4 million words) by adding speech recordings and transcriptions from two related initiatives, the Gos VideoLectures corpus of public academic speech, and the Artur speech recognition database. We describe this process by first presenting the criteria guiding the balanced selection of the newly added data and the challenges encountered when merging language resources with divergent designs, followed by the presentation of other major enhancements of the new Gos corpus, such as improvements in lemmatization and morphosyntactic annotation, word-level speech alignment, a new XML schema and the development of a specialized online concordancer.
Anthology ID:
2024.lrec-main.691
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
7825–7830
Language:
URL:
https://aclanthology.org/2024.lrec-main.691
DOI:
Bibkey:
Cite (ACL):
Darinka Verdonik, Kaja Dobrovoljc, Tomaž Erjavec, and Nikola Ljubešić. 2024. Gos 2: A New Reference Corpus of Spoken Slovenian. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 7825–7830, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Gos 2: A New Reference Corpus of Spoken Slovenian (Verdonik et al., LREC-COLING 2024)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.691.pdf