Project Donner le goût de l'archive à l'ère numérique · PyLaia · Published July 18, 2023

Notaires montréalais (Canada, 17e s.)/Montreal notaries (Canada, 17th c.)

Text Recognition

Description

Model developped by the partnership project "Donner le goût de l'archive à l'ère numérique, from Université de Montréal, Bibliothèque et archives nationales du Québec, Archiv-Histo and Atelier Permanent d'analyse documentaire. Contains 1013 pages of notaries and clerks of the bailiwick of Montreal (New France) in the 17th century. Includes the handwriting of Jean de Saint-Père, Lambert Closse, Bénigne Basset, Anthoine Adhémar, Claude Maugue, Pierre Cabazier, Hilaire Bourgine and Bourgonnière.

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Moderate error rate11% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 11% 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.

Words127,914
Lines20,128
Training Pages602
Model ID53554
Languages
French