ali · PyLaia · Published August 19, 2025
Western Sephardic Diaspora 1.1 (1676-1800)
Text Recognition
Description
Trained by researchers from the A Nação Hebraica project on a large corpus of documents belonging to the Portuguese Jewish communities of London, Livorno and Amsterdam in the seventeenth and eighteenth centuries. The manuscript originals are mostly in Portuguese, with Romanized Hebrew, Spanish and English interjections. They include selections from the Annual Accounts, Minutes of the Elders and the Mahamad, Ascamot, Livro do Pleitos (Book of Complaints), and birth records.
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Very low error rate3.64% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 3.64% 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.
Words530,904
Lines148,826
Training Pages2,012
Model ID387897