Dataset Open Access

OCR fulltexts of the Digital Collections of the Berlin State Library (DC-SBB)

Labusch, Kai; Zellhöfer, David

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Labusch, Kai</dc:creator>
  <dc:creator>Zellhöfer, David</dc:creator>
  <dc:description>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.
For each page with OCR text, the language has been determined by langid (Lui/Baldwin 2012).

corpus-entropy.pkl      entropy rate per document page

corpus-language.pkl   language per document page                    fulltext corpus (extracts to .txt format)              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)



Marco Lui and Timothy Baldwin. 2012.

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</dc:description>
  <dc:subject>OCR fulltext</dc:subject>
  <dc:subject>historic texts</dc:subject>
  <dc:title>OCR fulltexts of the Digital Collections of the Berlin State Library (DC-SBB)</dc:title>
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