A Transcription Is All You Need: Learning to Align Through Attention-Reference-Cited by-同舟云学术

A Transcription Is All You Need: Learning to Align Through Attention

Published:2021 Issue: Volume: Page:141-146
ISSN:0302-9743
Container-title:Document Analysis and Recognition – ICDAR 2021 Workshops
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Author:

Torras Pau,Souibgui Mohamed Ali,Chen Jialuo,Fornés Alicia

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86198-8_11

Reference9 articles.

1. Baró, A., Chen, J., Fornés, A., Megyesi, B.: Towards a generic unsupervised method for transcription of encoded manuscripts. In: DATeCH, pp. 73–78 (2019)

2. Ezra, D.S.B., Brown-DeVost, B., Dershowitz, N., Pechorin, A., Kiessling, B.: Transcription alignment for highly fragmentary historical manuscripts: the dead sea scrolls. In: ICFHR, pp. 361–366 (2020)

3. Fischer, A., Frinken, V., Fornés, A., Bunke, H.: Transcription alignment of Latin manuscripts using hidden Markov models. In: HIP, pp. 29–36 (2011)

4. Lecture Notes in Computer Science;L Kang,2019

5. Kassis, M., Nassour, J., El-Sana, J.: Alignment of historical handwritten manuscripts using Siamese neural network. In: ICDAR, vol. 1, pp. 293–298 (2017)

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