2022
DOI: 10.1007/978-3-031-21648-0_4
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Date Recognition in Historical Parish Records

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Cited by 2 publications
(2 citation statements)
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“…Currently, there are no ready-made algorithms suitable for the transcription of Danish PRs. However, our approach to transcribe the PRs automatically based on a combination of convolutional neural network and a transformer architecture is likely to achieve accurate text recognition with error rates as low as 3–5% based on our proof-of-concept experiments [ 21 ] and the existing literature.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Currently, there are no ready-made algorithms suitable for the transcription of Danish PRs. However, our approach to transcribe the PRs automatically based on a combination of convolutional neural network and a transformer architecture is likely to achieve accurate text recognition with error rates as low as 3–5% based on our proof-of-concept experiments [ 21 ] and the existing literature.…”
Section: Discussionmentioning
confidence: 99%
“…Here, we can recognise full dates with an error rate of 4%. When our model predicts a wrong birthday, in 75% of the cases, the correct date is among the five most likely predicted dates [ 21 ].…”
Section: Methodsmentioning
confidence: 99%