Michalcová, Anna; Bazelides, Kamil; Hajič, Jan; Pěnkavová, Eliška; Maniaková, Laura; Kreisingerová, Hana; Filipová, Jitka; Chi-hung Lu; Dvořáková, Martina · PyLaia · Published January 9, 2023
Old Czech Handwriting (without spaces)
Text Recognition
Description
This model is based on ground truth from two Old Czech manuscripts: 1) Padeřov Bible (Vienna, Austrian National Library, shelfmark Cod. 1175, 1432–1435), 2) Cistercian Bible (New York, The Morgan Library & Museum, shelfmark MS M.752, 1456), bibles of the third redaction of the Old Czech Bible translation. It can be used on Old Czech manuscripts written in bastard, primarily from the 14th and 15th centuries.
The transcription rules were based on semi-diplomatic transcription rules set by Pero OCR and "Směrnice pro vydávání starších českých textů" by Jiří Daňhelka (https://vokabular.ujc.cas.cz/moduly/edicnipoznamka.aspx?id=DanhelkaSmernice). Abbreviations were tagged and expanded.
This model was trained on transcription, where the gaps between words were preserved based on the form in the manuscripts.
Produced within the HTR Winter School 2022.
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Low error rate6.2% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 6.2% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.
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.
Words70,922
Lines12,780
Training Pages113
Model ID49186