Corpus Creation and Automatic Alignment of Historical Dutch Dialect Speech

Publication date

2024-05

Authors

Bentum, Martijn
Sanders, Eric
van den Bosch, AntalORCID 0000-0003-2493-656XISNI 0000000114780122
Zeldenrust, Douwe
van den Heuvel, Henk

Editors

Calzolari, Nicoletta
Kan, Min-Yen
Hoste, Veronique
Lenci, Alessandro
Sakti, Sakriani
Xue, Nianwen

Advisors

Supervisors

DOI

Document Type

Part of book
Open Access logo

License

cc_by_nc

Abstract

The Dutch Dialect Database (also known as the 'Nederlandse Dialectenbank') contains dialectal variations of Dutch that were recorded all over the Netherlands in the second half of the twentieth century. A subset of these recordings of about 300 hours were enriched with manual orthographic transcriptions, using non-standard approximations of dialectal speech. In this paper we describe the creation of a corpus containing both the audio recordings and their corresponding transcriptions and focus on our method for aligning the recordings with the transcriptions and the metadata.

Keywords

corpus creation, dialectal speech, Dutch language variants, speech transcriptions, Theoretical Computer Science, Computational Theory and Mathematics, Computer Science Applications

Citation

Bentum, M, Sanders, E, van den Bosch, A, Zeldenrust, D & van den Heuvel, H 2024, Corpus Creation and Automatic Alignment of Historical Dutch Dialect Speech. in N Calzolari, M-Y Kan, V Hoste, A Lenci, S Sakti & N Xue (eds), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, European Language Resources Association (ELRA), pp. 4021-4029, Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024, Hybrid, Torino, Italy, 20/05/24. < https://aclanthology.org/2024.lrec-main.357 >, conference