INEL-project · PyLaia · Published November 29, 2022

Russian-RychkovArchive-v1.0

Text Recognition

Description

Russian part of bilingual Evenki/Russian manuscripts by Konstantin Rychkov, 1910s. Russian text in pre-reform Cyrillic orthography. This model is trained on 645 pages (581 training +64 validation) from Rychkov archive, Folders 5, 6a, 6b, 6v, 4. No Base Model. 72 epochs. Model trained in the INEL project ("Grammatical Descriptions, Corpora, and Language Technology for Indigenous Northern Eurasian Languages") https://inel.corpora.uni-hamburg.de/ Manuscripts from the archive of Konstantin Rychkov provided by the Institute of Oriental Manuscripts RAS http://www.orientalstudies.ru/

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Very low error rate4.4% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 4.4% 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.

Words59,300
Lines14,884
Training Pages581
Model ID48362
Centuries
20th c.21st c.