OCR and post-correction of historical Finnish texts
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Drobac , S , Kauppinen , P S & Linden , B K J 2017 , OCR and post-correction of historical Finnish texts . in J Tiedemann (ed.) , Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden . Linköping Electronic Conference Proceedings , no. 131 , Linköping University Electronic Press , Linköping , pp. 70-76 , Nordic Conference of Computational Linguistics , Gothenburg , Sweden , 22/05/2017 . < http://www.ep.liu.se/ecp/131/ecp17131.pdf >
| Title: | OCR and post-correction of historical Finnish texts |
| Author: | Drobac, Senka; Kauppinen, Pekka Sakari; Linden, Bo Krister Johan |
| Other contributor: | Tiedemann, Jörg |
| Contributor organization: | Department of Modern Languages 2010-2017 Language Technology |
| Publisher: | Linköping University Electronic Press |
| Date: | 2017 |
| Language: | eng |
| Number of pages: | 7 |
| Belongs to series: | Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden |
| Belongs to series: | Linköping Electronic Conference Proceedings |
| ISBN: | 978-91-7685-601-7 |
| ISSN: | 1650-3686 |
| URI: | http://hdl.handle.net/10138/229864 |
| Abstract: | This paper presents experiments on Optical character recognition (OCR) as a combination of Ocropy software and data-driven spelling correction that uses Weighted Finite-State Methods. Both model training and testing were done on Finnish corpora of historical newspaper text and the best combination of OCR and post-processing models give 95.21% character recognition accuracy. |
| Subject: | 6121 Languages |
| Peer reviewed: | Yes |
| Usage restriction: | openAccess |
| Self-archived version: | publishedVersion |
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Articles from TUHAT CRIS [50743]