Neo-Latin 17th-18th century

Free Public AI Model for Handwritten Text Recognition with Transkribus

Neo-Latin 17th-18th century

This model is based on the transcription of the “Litterae Annuae Parochiae Ravensteijn SJ ab Anno 1643 ad Annum 1772”.The annual letters were kept at the Archivum Neerlandicum Societatis Iesu (Berchmannianum, Nijmegen) . These are now at the Catholic Document Center (Katholiek Documentatie Centrum (KADOC)) in Leuven, Belgium (inventarisnummer 15.606). Tom Gribnau photographed the manuscript; the transcriptions were made by Pim Boer, Leo Nellissen. This belongs to the publication: Tom Gribnau, Pim Boer, Leo Nellissen, Paul Begheyn SJ & Charles Caspers, Martiaal en theatraal. De jezuïeten in Ravenstein (1643-1772). Inleiding en vertaling van de jaarbrieven Nijmgen: Uitgeverij Valkhof Pers 2019; ISBN 978 90 5625 514 5)
More information can be found at: https://jaarbrieven.blogspot.com/ and https://www.stilus.nl/litterae/

T2I from the transcripts to Transkribus model has been done by Dr. C.A. Romein. 64400 words have been trained and the CER on the validation set is 4%.

Model Overview

Name:
Pylaia_NeoLatin_Ravenstein
Creator:
Annemieke Romein
Model ID:
27542
Century:
17th, 18th
Languages:
Latin
Script:
Latin alphabet
Engine:
PyLaia
Material:
Handwritten
CER on validation set:
4 %

Pylaia_NeoLatin_Ravenstein is freely available to everyone

Get started with Transkribus and use it for your own Material
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.