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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 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) Sources 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
OCR fulltext, historic texts
OCR fulltext, historic texts
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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