Processing M.A. Castrén’s Materials: Multilingual Historical Typed and Handwritten Manuscripts

Niko Partanen, Jack Rueter, Khalid Alnajjar, Mika Hämäläinen


Abstract
The study forms a technical report of various tasks that have been performed on the materials collected and published by Finnish ethnographer and linguist, Matthias Alexander Castrén (1813–1852). The Finno-Ugrian Society is publishing Castrén’s manuscripts as new critical and digital editions, and at the same time different research groups have also paid attention to these materials. We discuss the workflows and technical infrastructure used, and consider how datasets that benefit different computational tasks could be created to further improve the usability of these materials, and also to aid the further processing of similar archived collections. We specifically focus on the parts of the collections that are processed in a way that improves their usability in more technical applications, complementing the earlier work on the cultural and linguistic aspects of these materials. Most of these datasets are openly available in Zenodo. The study points to specific areas where further research is needed, and provides benchmarks for text recognition tasks.
Anthology ID:
2021.nlp4dh-1.6
Volume:
Proceedings of the Workshop on Natural Language Processing for Digital Humanities
Month:
December
Year:
2021
Address:
NIT Silchar, India
Venue:
NLP4DH
SIG:
Publisher:
NLP Association of India (NLPAI)
Note:
Pages:
47–54
Language:
URL:
https://aclanthology.org/2021.nlp4dh-1.6
DOI:
Bibkey:
Cite (ACL):
Niko Partanen, Jack Rueter, Khalid Alnajjar, and Mika Hämäläinen. 2021. Processing M.A. Castrén’s Materials: Multilingual Historical Typed and Handwritten Manuscripts. In Proceedings of the Workshop on Natural Language Processing for Digital Humanities, pages 47–54, NIT Silchar, India. NLP Association of India (NLPAI).
Cite (Informal):
Processing M.A. Castrén’s Materials: Multilingual Historical Typed and Handwritten Manuscripts (Partanen et al., NLP4DH 2021)
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PDF:
https://aclanthology.org/2021.nlp4dh-1.6.pdf