Detecting Articles in a Digitized Finnish Historical Newspaper Collection 1771-1929
Kimmo Kettunen, Teemu Ruokolainen, Erno Liukkonen, Pierrick Tranouez, Daniel Antelme, Thierry Paquet · 2019
This paper describes first large scale article detection and extraction efforts on the Finnish Digi1 newspaper material of the National Library of Finland (NLF) using data of one newspaper, Uusi Suometar 1869-1898. The historical digital newspaper archive environment of the NLF is based on commercial docWorks2 software. The software is capable of article detection and extraction, but our material does not seem to behave well in the system in this respect. Therefore, we have been in search of an alternative article segmentation system and have now focused our efforts on the PIVAJ machine learning based platform developed at the LITIS laboratory of University of Rouen Normandy [11--13, 16, 17].