waiyingruby.ku · PyLaia · Published February 15, 2026
Bodley 343 Test Model
Text Recognition
Description
Test model for Oxford, Bodleian Library, MS Bodley 343 (s. xii²), trained on diplomatic transcriptions of 15 Old English homilies within this MS from the ECHOE project (https://echoe.uni-goettingen.de, text IDs 310.12–310.82).
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Very low error rate1.96% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 1.96% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.
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.
Words32,765
Lines1,820
Training Pages66
Model ID512337