Emil Gunnlaugsson · PyLaia · Published April 29, 2023

19th century Icelandic

Text Recognition

Description

This model is based on various texts from c.a. 1810–1880. It made use of mostly court records but also diaries, parliamentary records etc. with around c.a. 5.000–20.000 words from each hand. Emil Gunnlaugsson is the creator of the model, but the financing was provided by Centre for Digital Humanities and Arts and the source material by the National Archives of Iceland and Icelandic Manuscript Institute.

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Low error rate5.2% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.2% 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.

Words248,699
Lines33,221
Training Pages596
Model ID51788
Languages
Icelandic