L'équipe de l'APAD / Jean-Luc Lauzon · PyLaia · Published December 17, 2024
Les notaires montréalais: Maugue, Claude Nouvelle-France, 17e siècle
Text Recognition
Description
Modèle développé avec le projet: "Donner le goût de l'archive à l'ère numérique" (https://donner-le-gout-de-larchive.weebly.com), de l’Université de Montréal, Bibliothèque et archives nationales du Québec, Société de recherches Archiv-Histo et l’Atelier Permanent d'analyse documentaire- Volet transcription. Modèle fait à partir des actes 1 à 200 du notaire Claude Maugue du 25 novembre 1677 au 23 janvier 1680.
This model was developed as part of the project ‘Donner le goût de l'archive à l'ère numérique’ (https://donner-le-gout-de-larchive.weebly.com) at the Université de Montréal, Bibliothèque et archives nationales du Québec, Société de recherches Archiv-Histo and Atelier Permanent d'analyse documentaire- Volet transcription. Based on deeds 1 to 200 by notary Claude Maugue from November 25, 1677 to January 23, 1680.
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Low error rate6.16% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 6.16% 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.
Words152,813
Lines24,713
Training Pages803
Model ID246929