OCR fulltexts of the Digital Collections of the Berlin State Library (DC-SBB)
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资源简介：
The digital collections of the SBB contain 153,942 digitized works from the time period of 1470 to 1945.
At the time of publication, 28,909 works have been OCR-processed resulting in 4,988,099 full-text pages.<br>
For each page with OCR text, the language has been determined by <em>langid </em>(Lui/Baldwin 2012).
corpus-entropy.pkl entropy rate per document page
corpus-language.pkl language per document page
corpus.zip fulltext corpus (extracts to .txt format)
de_corpus.zip German sub-corpus (extracts to .txt format)
selection_de.pkl Selection list of German documents
xml2csv_alto.csv fulltext corpus per document page (incl.OCR word confidences)
<em>Sources</em>
Marco Lui and Timothy Baldwin. 2012. Langid.py:
An off-the-shelf language identification tool. In Proceedings of the ACL 2012 System Demonstrations,
ACL ’12, pages 25–30, Stroudsburg, PA, USA. Association for Computational Linguistics
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Zenodo
创建时间：
2019-06-26
