Rachel Midura (Virginia Tech), Jake Dyble (Exeter/Pisa), Antonio Iodice (Exeter/Genoa), and Sara Mansutti (Cork) · PyLaia · Published November 28, 2022
Italian Administrative Hands, 1550-1700
Text Recognition
Description
The Italian Administrative Hands model features a variety of Italian-language documents from state archives in Milan, Venice, Florence, Pisa, and Genoa. The training set represents a spectrum of humanistic, italic and cursive hands characteristic of administrative records, employed by secretaries and newswriters. The model has been trained to perform well with a mix of quantitative and qualitative information as well as many common proper nouns for the period, such as locations in Europe and contemporary rulers. Administrative documents often employ common superscript abbreviations, which the accompanying documentation treats in greater detail. The model can also be used with Latin, Spanish and French documents to some extent. The model represents a collaboration between Jake Dyble (Exeter/Pisa), Antonio Iodice (Exeter/Genoa), Sara Mansutti (Cork), and Rachel Midura (Virginia Tech). Documentation at https://emdigit.org/tool/2020/07/21/italian-administrative-hands.html.
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Moderate error rate12.2% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 12.2% 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.
Words67,361
Lines7,264
Training Pages315
Model ID48299