Towards a Generic Unsupervised Method for Transcription of Encoded Manuscripts-Reference-Cited by-同舟云学术

Towards a Generic Unsupervised Method for Transcription of Encoded Manuscripts

Published:2019-05-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage
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Author:

Baró Arnau¹,Chen Jialuo¹,Fornés Alicia¹,Megyesi Beáta²

Affiliation:

1. Computer Vision Center, Computer Science Department, Universitat Autònoma de Barcelona, Bellaterra, Spain

2. Linguistics and Philology, Uppsala University, Uppsala, Sweden

Funder

Swedish Research Council

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Generalitat de Catalunya

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3322905.3322920

Reference15 articles.

1. Nada Aldarrab. 2017. Decipherment of historical manuscripts. Master's thesis. Master's thesis University of Southern California. Nada Aldarrab. 2017. Decipherment of historical manuscripts. Master's thesis. Master's thesis University of Southern California.

2. Jon Almazán Albert Gordo Alicia Fornés and Ernest Valveny. 2014. Word spotting and recognition with embedded attributes. IEEE transactions on pattern analysis and machine intelligence 36 12 (2014) 2552--2566. Jon Almazán Albert Gordo Alicia Fornés and Ernest Valveny. 2014. Word spotting and recognition with embedded attributes. IEEE transactions on pattern analysis and machine intelligence 36 12 (2014) 2552--2566.

3. Archivio Segreto Vaticano ASV. 2016. ASV16:Segr.di.Stato/Francia/ and Spagna Archivio Segreto Vaticano. All rights reserved. Archivio Segreto Vaticano ASV. 2016. ASV16:Segr.di.Stato/Francia/ and Spagna Archivio Segreto Vaticano. All rights reserved.

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