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European libraries and archives are filled with enciphered manuscripts from the early modern period.
A. Kae, G. Huang, C. Doersch, and E. Learned-Miller, “Improving state-of-the-art OCR through high-precision document-specific modeling,” in IEEE Conference on Computer Vision and Pattern Recognition , June 2010, pp. 1935–1942
1942
Earlier work this paper cites.
G. Nagy, S. C. Seth, and K. Einspahr, “Decoding substitution ciphers by means of word matching with application to OCR,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 9, no. 5, pp. 710–715, May 1987. [Online]. Available: http://dx.doi.org/10.1109/TPAMI.1987.4767969
1987
Earlier work this paper cites.
K. Knight and K. Yamada, “A computational approach to deciphering unknown scripts,” in Proceedings of the ACL Workshop on Unsupervised Learning in Natural Language Processing , 1999
1999
Earlier work this paper cites.
T. K. Ho and G. Nagy, “OCR with no shape training,” in Proceedings of 15th International Conference on Pattern Recognition , vol. 4, 2000, pp. 27–30
2000
Earlier work this paper cites.
T. M. Breuel, “Modeling the sample distribution for clustering OCR,” in Proc. SPIE, Document Recognition and Retrieval VIII , vol. 4307, 12 2000, pp. 193–200
2000
Earlier work this paper cites.
R. Smith, “An overview of the tesseract OCR engine,” in Proceedings of the Ninth International Conference on Document Analysis and Recognition , 2007, pp. 629–633
2007
Earlier work this paper cites.
G. Huang, E. Learned-Miller, and A. McCallum, “Cryptogram decoding for ocr using numerization strings,” in Ninth International Conference on Document Analysis and Recognition , vol. 1, Sept 2007, pp. 208–212
2007
Cited alongside, same era.
V. Kluzner, A. Tzadok, D. Chevion, and E. Walach, “Hybrid approach to adaptive OCR for historical books,” in IEEE International Conference on Document Analysis and Recognition , Sept 2011, pp. 900–904
2011
Cited alongside, same era.
K. Knight, B. Megyesi, and C. Schaefer, “The copiale cipher,” in Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web , 2011, pp. 2–9. [Online]. Available: http://dl.acm.org/citation.cfm?id=2024236.2024239
2011
Cited alongside, same era.
B. M. Lake, R. Salakhutdinov, J. Gross, and J. B. Tenenbaum, “One shot learning of simple visual concepts,” in Proceedings of the 33th Annual Meeting of the Cognitive Science Society , 2011. [Online]. Available: https://mindmodeling.org/cogsci2011/papers/0601/index.html
G. Koch, R. Zemel, and R. Salakhutdinov, “Siamese neural networks for one-shot image recognition,” in Proceedings of the 32nd International Conference on Machine Learning , 2015
2015
Later among the works it cites.
B. Hauer and G. Kondrak, “Decoding anagrammed texts written in an unknown language and script,” Transactions of the Association for Computational Linguistics , vol. 4, pp. 75–86, 2016
2016
Later among the works it cites.
A. Fornés, B. Megyesi, and J. Mas, “Transcription of encoded manuscripts with image processing techniques,” in Proceedings of Digital Humanities , 2017
2017
Later among the works it cites.
N. Aldarrab, “Decipherment of historical manuscripts,” Master’s thesis, University of Southern California, Los Angeles, California, 2017
2017
Later among the works it cites.
E. Pettersson and B. Megyesi, “The histcorp collection of historical corpora and resources,” in Proceedings of the Third Conference on Digital Humanities in the Nordic Countries , 2018
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2011
Cited alongside, same era.
T. Berg-Kirkpatrick, G. Durrett, and D. Klein, “Unsupervised transcription of historical documents.” in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics , 2013, pp. 207–217
2013
Cited alongside, same era.
M. Nuhn and K. Knight, “Cipher type detection,” in Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing , 2014, pp. 1769–1773
2014
Cited alongside, same era.
2018
Closest in time.
T. Berg-Kirkpatrick and D. Klein, “Improved typesetting models for historical OCR,” in Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics , 2014, pp. 118–123. [Online]. Available: http://aclweb.org/anthology/P/P14/P14-2020.pdf
2020
Closest in time.