Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities

Shafqat Mumtaz Virk, Claes Ohlsson, Nina Tahmasebi, Henrik Björck, Leif Runefelt


Abstract
The Swedish bicameral parliament data presents a valuable textual resource that is of interest for many researches and scholars. The parliamentary texts offer many avenues for research including the study of how various affairs were run by governments over time. The Parliament proceedings are available in textual format, but in their original form, they are noisy and unstructured and thus hard to explore and investigate. In this paper, we report the transformation of the raw bicameral parliament data (1867-1970) into a structured lexical resource annotated with various word and document level attributes. The annotated data is then made searchable through two modern corpus infrastructure components which provide a wide array of corpus exploration, visualization, and comparison options. To demonstrate the practical utility of this resource, we present a case study examining the transformation of the concept of ‘market’ over time from a tangible physical entity to an abstract idea.
Anthology ID:
2024.nlp4dh-1.27
Volume:
Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities
Month:
November
Year:
2024
Address:
Miami, USA
Editors:
Mika Hämäläinen, Emily Öhman, So Miyagawa, Khalid Alnajjar, Yuri Bizzoni
Venue:
NLP4DH
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
280–288
Language:
URL:
https://aclanthology.org/2024.nlp4dh-1.27
DOI:
Bibkey:
Cite (ACL):
Shafqat Mumtaz Virk, Claes Ohlsson, Nina Tahmasebi, Henrik Björck, and Leif Runefelt. 2024. Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities. In Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities, pages 280–288, Miami, USA. Association for Computational Linguistics.
Cite (Informal):
Enhancing Swedish Parliamentary Data: Annotation, Accessibility, and Application in Digital Humanities (Virk et al., NLP4DH 2024)
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PDF:
https://aclanthology.org/2024.nlp4dh-1.27.pdf