Church Slavonic (2)

Free Public AI Model for Handwritten Text Recognition with Transkribus

Church Slavonic (2)

Prof. Achim Rabus from the University of Freiburg has released two specialized models which are able to read Church Slavonic.

The first model is called VMC_Test_4+: Training data consist of parts of the Church Slavonic Great Reading Menology (16th century, Russian Church Slavonic redaction). The model is tailored towards transcribing Cyrillic semi-uncial script from the 16th century. Character Error Rates for the training data are 1.81% and for the validation set 3.61%.

The second model is called: Combined_Full_VKS_2: Training data consist of parts of the Church Slavonic Great Reading Menology (16th century, Russian Church Slavonic redaction), Old Church Slavonic Codex Suprasliensis (11th century), and the 11th century manuscript of the Catecheses of Cyril of Jerusalem. This is a generic model suitable for transcribing a variety of Old Cyrillic script styles including uncial and semi-uncial. Character Error Rates for the training data are 3.31% and for the validation set 3.71%.

Achim has written a detailed report about his usage of Transkribus.
hough it deals with Church Slavonic it is definitely interesting for other users as well. Thanks a lot!

Model Overview

Name:
Combined_Full_VKS_2
Creator:
Achim Rabus (University of Freiburg)
Model ID:
26113
Century:
11th, 16th
Languages:
Church Slavonic
Script:
Cyrillic alphabet
Engine:
PyLaia
Material:
Handwritten
CER on validation set:
3.71 %
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Combined_Full_VKS_2 is freely available to everyone

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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 Cyrillic alphabet documents into editable and searchable text.