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This Handwritten Text Recognition (HTR) xml-page file dataset contains the ground truths used for the gado-gado named entity processing application, see: https://github.com/KBNLresearch/gado-gado. Optical Character Recognition (OCR) resulted in high Character Error Rates (CER) due to the inferior quality of many scans. In contrast, HTR led to CERs below 0.5 percent thus increasing the efficiency of the NER engine. All uploaded files are free of errors and fully tagged. This initial release will be extended much further in the coming weeks.
Sundanese, Chinese, Arabic, Indonesia, Handwritten Text Recognition, Japanese, Netherlands Indies, Named Entity Linking, Dutch, Historical sources, Newspapers, Named Entity Recognition, Javanese
Sundanese, Chinese, Arabic, Indonesia, Handwritten Text Recognition, Japanese, Netherlands Indies, Named Entity Linking, Dutch, Historical sources, Newspapers, Named Entity Recognition, Javanese
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