Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur & Antiqua Models and Image Preprocessing

Anthology ID:: W17-0238
Volume:: Proceedings of the 21st Nordic Conference on Computational Linguistics
Month:: May
Year:: 2017
Address:: Gothenburg, Sweden
Editors:: Jörg Tiedemann, Nina Tahmasebi
Venue:: NoDaLiDa
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Publisher:: Association for Computational Linguistics
Note:
Pages:: 277–283
Language:
URL:: https://aclanthology.org/W17-0238
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Cite (ACL):: Mika Koistinen, Kimmo Kettunen, and Tuula Pääkkönen. 2017. Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur & Antiqua Models and Image Preprocessing. In Proceedings of the 21st Nordic Conference on Computational Linguistics, pages 277–283, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):: Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur & Antiqua Models and Image Preprocessing (Koistinen et al., NoDaLiDa 2017)
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PDF:: https://preview.aclanthology.org/nschneid-patch-5/W17-0238.pdf