Nina Javette Koefoed and Aarhus City Archives · PyLaia · Published November 24, 2021

18C Danish Administrative Writing (PyLaia)

Text Recognition

Description

This model was made in a collaboration between Associate Professor Nina Javette Koefoed from Aarhus University and City Archivist Søren Bitsch Christensen and Archvist Kristian Pindstrup of Aarhus City Archives. It is based on the model 18th Century Danish Prison Records v.5.1. The primary training material consists of 18th Century protocols from the penitentiary on Møn. To increase the universality of the model, further training material has been added from the models "Various Danish Hands c. 1780 v. 1.13" by Associate Professor Johan Heinsen from Aalborg University and "17th Century Norwegian Court Records - Model Version 5" by former Senior Advisor Steve Jackson from the National Archival Services of Norway. Over 600.000 words from the 18th century have been used to train the model.

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Low error rate6% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 6% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. This is a larger model trained on diverse material, which generally makes it more robust across different handwriting styles. That said, larger training sets also make it harder to push the CER down further.

Measured on the model's own validation data. Results on your documents may differ depending on handwriting style, document condition, language, and how closely your material resembles the training data.

Words623,268
Lines107,813
Training Pages4,808
Model ID38364
Languages
Danish
Centuries
18th c.