# Processing M.A. Castr'en's Materials: Multilingual Typed and Handwritten Manuscripts

arXiv: https://arxiv.org/abs/2112.14153 · HTML: https://mlsanity.com/paper/2112.14153/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 43 references that are in the map.
- First posted on arXiv 28 Dec 2021.

## Builds on (most cited first, 6 of 6)

- [Finnish Dialect Identification: The Effect of Audio and Text](https://mlsanity.com/paper/2111.03800/) (2021)
- [Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography](https://mlsanity.com/paper/2107.03266/) (2021)
- [From Plenipotentiary to Puddingless: Users and Uses of New Words in Early English Letters](https://mlsanity.com/paper/2103.09926/) (2021)
- [Normalization of Different Swedish Dialects Spoken in Finland](https://mlsanity.com/paper/2012.05318/) (2020)
- [Corpus and Models for Lemmatisation and POS-tagging of Old French](https://mlsanity.com/paper/2109.11442/) (2021)
- [Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910](https://mlsanity.com/paper/1611.02839/) (2016)

## Built on by (most cited first, 1 of 1)

- [Subword-Based Comparative Linguistics across 242 Languages Using Wikipedia Glottosets](https://mlsanity.com/paper/2601.18791/) (2026)

## Abstract (arXiv)

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 Castr'en (1813-1852). The Finno-Ugrian Society is publishing Castr'en'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.