A System for Identifying and Exploring Text Repetition in Large Historical Document Corpora

Abstract

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.

Publication
Proceedings of the 21st Nordic Conference of Computational Linguistics
Date
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