The data contains the morphemic dictionary scanned in the PDF format. It is divided into 3 parts:
introductions.pdf - pp. 11-102
main_dictionary.pdf - pp. 113-506
appendices.pdf - pp. 509-645
The file contains all Czech verbs included in the Retrograde Morphemic Dictionary of Czech Language (Slavíčková Eleonora, Academia 1975).
The data was obtained by scanning a portion of the dictionary that contains words ending in -ci and -ti. Among them, there were 18 non-verbs, which were removed. Using OCR, the data was converted into the plain text format and the result was checked by two independent readers. However, if a user encounters a forgotten error, please report.
Possibility to download the Ridges herbology corpus as a whole or parts of it; Möglichkeit zum Download des Ridges Herbology-Korpus als Ganzes oder einzelner Teildokumente
RobeCzech is a monolingual RoBERTa language representation model trained on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach. We show that RobeCzech considerably outperforms equally-sized multilingual and Czech-trained contextualized language representation models, surpasses current state of the art in all five evaluated NLP tasks and reaches state-of-theart results in four of them. The RobeCzech model is released publicly at https://hdl.handle.net/11234/1-3691 and https://huggingface.co/ufal/robeczech-base, both for PyTorch and TensorFlow.