Změny mezi verzí 27 a verzí 28 u OcrDataset

Časová značka:

8. 12. 2022 14:13:57 (před 20 měsíci)

Autor:

xnovot32@fi.muni.cz

Komentář:

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OcrDataset

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 This is an open dataset of scanned images and OCR texts from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains human annotations for layout analysis, OCR evaluation, and language identification.
 
-You can [https://hdl.handle.net/11234/1-4615 download the dataset from 2021] and [https://hdl.handle.net/11234/1-4935 supplementary materials from 2022] in the LINDAT/CLARIAH-CZ repository.
+You can [https://hdl.handle.net/11234/1-4615 download the dataset from 2021] and [https://hdl.handle.net/11234/1-4935 supplementary materials from 2022] in the LINDAT/CLARIAH-CZ repository.
 
 == Contents ==
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  * The archive [https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-4615/annotations-language-identification.zip?sequence=3&isAllowed=y annotations-language-identification.zip] (1.1 MB) contains 122 annotations for the evaluation of language identification.
 
-[https://hdl.handle.net/11234/1-4935 The supplementary materials from 2022] are structured as follows:
+[https://hdl.handle.net/11234/1-4935 The supplementary materials from 2022] are structured as follows:
 
- * The archive [https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-4935/ocr-texts-supplementary.zip?sequence=1&isAllowed=y ocr-texts-supplementary.zip] (23.26 MB) contains 110 OCR texts for which we have both high-resolution scanned images and annotations for OCR evaluation.[[BR]]The archive is divided into a number of subdirectories with outputs of different OCR engines:
+ * The archive [https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-4935/ocr-texts-supplementary.zip?sequence=1&isAllowed=y ocr-texts-supplementary.zip] (23.26 MB) contains 110 OCR texts for which we have both high-resolution scanned images and annotations for OCR evaluation.[[BR]]The archive is divided into a number of subdirectories with outputs of different OCR engines:
    * The subdirectory `google-vision-ai-old` contains JSON and TXT documents from the Google Vision AI OCR engine from 2020-10-02.
    * The subdirectory `google-vision-ai` contains JSON and TXT documents from the Google Vision AI OCR engine from 2022-08-11.
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 If you use our dataset in your work, please cite the following articles:
 
-  Novotný, V., Seidlová, K., Vrabcová, T., Horák, A.: When Tesseract Brings Friends: Layout Analysis, Language Identification, and Super-Resolution in the Optical Character Recognition of Medieval Texts. In: Horák, A., Rychlý, P., Rambousek, A. (eds.) ''                      Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2021''        . pp. 91–100. ISSN 2336-4289. ISBN 978-80-263-1600-8. Tribun EU (2021). Available also from WWW: https://nlp.fi.muni.cz/raslan/2021/paper10.pdf
+  Novotný, V., Seidlová, K., Vrabcová, T., Horák, A.: When Tesseract Brings Friends: Layout Analysis, Language Identification, and Super-Resolution in the Optical Character Recognition of Medieval Texts. In: Horák, A., Rychlý, P., Rambousek, A. (eds.) ''                       Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2021''         . pp. 91–100. ISSN 2336-4289. ISBN 978-80-263-1600-8. Tribun EU (2021). Available also from WWW: https://nlp.fi.muni.cz/raslan/2021/paper10.pdf
 
-  Novotný, V., Horák, A.: When Tesseract Meets PERO: Open-Source Optical Character Recognition of Medieval Texts. In: Horák, A., Rychlý, P., Rambousek, A. (eds.) ''        Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2022''        . pp. 157–160. ISSN 2336-4289. ISBN 978-80-263-1752-4. Tribun EU (2022). Available also from WWW: https://nlp.fi.muni.cz/raslan/2022/paper12.pdf
+  Novotný, V., Horák, A.: When Tesseract Meets PERO: Open-Source Optical Character Recognition of Medieval Texts. In: Horák, A., Rychlý, P., Rambousek, A. (eds.) ''         Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2022''         . pp. 157–160. ISSN 2336-4289. ISBN 978-80-263-1752-4. Tribun EU (2022). Available also from WWW: https://nlp.fi.muni.cz/raslan/2022/paper12.pdf
 
 If you use LaTeX, you can use the following BibTeX entries:
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-== Acknowledgements ==
-This work was funded by TAČR Éta, [https://starfos.tacr.cz/en/project/TL03000365 project number TL03000365].