kira.kovalenko · PyLaia · Published August 29, 2022

Russian print of the 18 c. (V. Okorokov's Printing House)

Text Recognition

Description

The model «Russian print of the 18 c. (V. Okorokov's Printing House)» was created during the course of the project at the European University at St. Petersburg «Plants and people in the Russian Empire of the 18th century: knowledge and practice distribution among social classes». At the first stage, several scientific treatises published at the V. Okorokov’s Printing House (at the Moscow State University) were chosen as a starting point for transcribing. The books were printed in Russian, but some scientific notions and terms were supplied with Latin equivalents. The model also shows good results on the other printed Russian texts of the 18th c., and can be used as a base model to speed up the creation of a general model for Russian print of the 18th c., including every specific printing house. Training sources are books, scanned by Google Books (include more than 82,000 words): https://www.google.ru/books/edition/Георгия_Готлиба_Рихте/_7ZiAAAAcAAJ?hl=ru&gbpv=0 https://www.google.ru/books/edition/О_дѣйствиях_и_силѣ_шал/v65iAAAAcAAJ?hl=ru&gbpv=0

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Very low error rate0.6% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 0.6% 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.

Words82,353
Lines16,162
Training Pages565
Model ID44358
Languages
LatinRussian