The open corpus of the Vepsian and Karelian languages

In order to preserve and systematically study the Vepsian and Karelian languages, the staff of the Institute of Language, Literature and History and the Institute of Applied Mathematical Research of the KarSC RAS have created and continue to improve the VepKar language corpus. The project is aimed at preserving and accumulating written texts in Karelian and Vepsian languages, fixing and preserving oral speech, researching the Baltic-Finnish languages of Karelia, editing the norms of newly written versions of Karelian and Vepsian languages, and creating educational applications. Anyone can use VepKar as an electronic library and a full-fledged electronic dictionary, which makes this resource very popular.

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Publication Details

Journal
Вестник Российской академии наук
Published
2024-11-04
DOI
https://doi.org/10.31857/s0869587324090045
Citations
2
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

The open corpus of the Vepsian and Karelian languages

Irina Novak, Ирма И. Муллонен
2 citations
Вестник Российской академии наук
Natural Language Processing Techniques
0.35
article

The open corpus of the Vepsian and Karelian languages

Irina Novak, Ирма И. Муллонен
article en
2 citations

Abstract

In order to preserve and systematically study the Vepsian and Karelian languages, the staff of the Institute of Language, Literature and History and the Institute of Applied Mathematical Research of the KarSC RAS have created and continue to improve the VepKar language corpus. The project is aimed at preserving and accumulating written texts in Karelian and Vepsian languages, fixing and preserving oral speech, researching the Baltic-Finnish languages of Karelia, editing the norms of newly written versions of Karelian and Vepsian languages, and creating educational applications. Anyone can use VepKar as an electronic library and a full-fledged electronic dictionary, which makes this resource very popular.

Вестник Российской академии наукVol. 94(9)
Karelian Research Centre (RU)
Quality Education
Openalex Percentile: Top 32%
Natural Language Processing Techniques
0.35
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