Old Occitan handwriting

Free Public AI Model for Handwritten Text Recognition with Transkribus

Old Occitan handwriting

The model was trained with Old Occitan texts, mainly from the 13th and 14th centuries from the Languedoc or Provence. Overall, 7 texts were used for this purpose with a total of about 830 pages and about 190,000 tokens.

The following texts were used:

Las Leys d’amors (= Bibliothèque municipale de Toulouse, cote 2883/-4),
Le roman de Flamenca (=Bibliothèque municipale de Carcassonne, cote 34),

and from the Bibliothèque nationale de France (BnF):
La vida de sant Enimia (= Arsenal 6355), NAF 11180, NAF 1050, Latin 1139 and Français 846.

The model makes independent word segmentations and is capable of resolving the common abbreviations. Punctuation is left as it is in the manuscript (i.e. elided vowels, e.g. in the article, are not replaced by apostrophes). The CER on the training set is 2.6%, on the validation set 3.51%.

Model Overview

Name:
OldOccitanHandwriting
Creator:
Marinus Wiedner
Model ID:
52822
Century:
14th, 13th
Languages:
Old Occitan, Old Provençal
Script:
Latin alphabet
Engine:
PyLaia
Material:
Handwritten
CER on validation set:
3.51 %
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You can use this model to automatically transcribe Handwritten documents with Handwritten Text Recgnition in Transkribus. This model can be used in the Transkribus Expert Client as well as in Transkribus Lite.
This AI model was trained to automatically convert text from images of historical Latin alphabet documents into editable and searchable text.