Partanen, Niko
[Author];
Rießler, Michael
[Author];
Pirinen, Tommi A.
[Author];
Kaalep, Heiki-Jaan
[Author];
Tyers, Francis M.
[Author];
Association for Computational Linguistics
[Author]
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Media type:
Report;
Electronic Conference Proceeding;
E-Book
Title:
An OCR system for the Unified Northern Alphabet
Contributor:
Partanen, Niko
[Author];
Rießler, Michael
[Author];
Pirinen, Tommi A.
[Author];
Kaalep, Heiki-Jaan
[Author];
Tyers, Francis M.
[Author];
Association for Computational Linguistics
[Author]
imprint:
Association for Computational Linguistics, 2019
Language:
English
ISBN:
978-1-948087-92-6
Origination:
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
Partanen N, Rießler M. An OCR system for the Unified Northern Alphabet. In: Pirinen TA, Kaalep H-J, Tyers FM, Association for Computational Linguistics, eds. The fifth International Workshop on Computational Linguistics for Uralic Languages . Tartu: Association for Computational Linguistics; 2019: 77-89. ; This paper presents experiments done in order to build a functional OCR model for the Unified Northern Alphabet. This writing system was used between 1931 and 1937 for 16 (Uralic and non-Uralic) minority languages spoken in the Soviet Union. The character accuracy of the developed model reaches more than 98% and clearly shows cross-linguistic applicability. The tests described here therefore also include general guidelines for the amount of training data needed to boot-strap an OCR system under similar conditions.