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German, Low German and Latin 17th century

Free Public AI Model for Handwritten Text Recognition with Transkribus

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German, Low German and Latin 17th century
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This PyLaia model was trained on the basis of more than 594000 words from about 1000 different writers during the period 1580-1705. The CER on the validation set is 5.8%. It can handle the languages German, Low German
and Latin and is able to decipher simple german and latin abbreviations. Besides the usual chancery writings, the training material also contained a selection of concept writings and printed
material of the period. The entire training material is based on legal texts or court writings from the Responsa of the Greifswald Law Faculty. Validation sets are based on a chronological
selection of the years: 1580 – 1705 . GT & validation set was produced by Dirk Alvermann, Elisabeth Heigl, Anna Brandt.

Model Overview

Name:
Acta_17 PyLaia
Creator:
University of Greifswald
Model ID:
27337
Century:
16th, 17th, 18th
Languages:
German, Latin, Low German
Script:
Latin alphabet, German
Engine:
PyLaia
Material:
Handwritten
CER on validation set:
5.8 %
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Acta_17 PyLaia 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, German documents into editable and searchable text.
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This page was translated with the help of artificiale intelligence.

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