A4 Artikkeli konferenssijulkaisussa
A System for Identifying and Exploring Text Repetition in Large Historical Document Corpora




Julkaisun tekijät: Aleksi Vesanto, Asko Nivala, Tapio Salakoski, Hannu Salmi, Filip Ginter
Paikka: Gothenburg
Julkaisuvuosi: 2017
Kirjan nimi *: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Sarjan nimi: NEALT Proceedings Series
Numero sarjassa: 29
ISBN: 978-91-7685-601-7
ISSN: 1650-3686

Tiivistelmä








We present a software for retrieving and
exploring duplicated text passages in low
quality OCR historical text corpora. The
system combines NCBI BLAST, a software created for comparing and aligning
biological sequences, with the Solr search
and indexing engine, providing a web interface to easily query and browse the
clusters of duplicated texts. We demonstrate the system on a corpus of scanned
and OCR-recognized Finnish newspapers
and journals from years 1771 to 1910. 





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Last updated on 2019-29-01 at 23:44