论文信息 - Applying BLAST to Text Reuse Detection in Finnish Newspapers and Journals, 1771-1910

Applying BLAST to Text Reuse Detection in Finnish Newspapers and Journals, 1771-1910

We present the results of text reuse detection, based on the corpus of scanned and OCR-recognized Finnish newspapers and journals from 1771 to 1910. Our study draws on BLAST, a software created for comparing and aligning biological sequences. We show different types of text reuse in this corpus, and also present a comparison to the software Passim, developed at the Northeastern University in Boston, for text reuse detection.

[1] Kimmo Kettunen,et al. Keep, Change or Delete? Setting up a Low Resource OCR Post-correction Framework for a Digitized Old Finnish Newspaper Collection , 2015, IRCDL.

[2] Ryan Cordell,et al. Reprinting, Circulation, and the Network Author in Antebellum Newspapers , 2015 .

[3] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.

[4] Kimmo Kettunen,et al. Exporting Finnish Digitized Historical Newspaper Contents for Offline Use , 2016, D Lib Mag..

[5] Tapio Salakoski,et al. A System for Identifying and Exploring Text Repetition in Large Historical Document Corpora , 2017, NODALIDA.

[6] David A. Smith,et al. Computational Methods for Uncovering Reprinted Texts in Antebellum Newspapers , 2015 .

[7] David A. Smith,et al. Detecting and modeling local text reuse , 2014, IEEE/ACM Joint Conference on Digital Libraries.