Optical character recognition (OCR) is one of the most popular techniques used for
converting printed documents into machine-readable ones. While OCR engines can do well …

The optical character recognition (OCR) quality of the historical part of the Finnish
newspaper and journal corpus is rather low for reliable search and scientific research on the …

PoCoTo is known as a web-based interactive tool for the postcorrection of OCR-results on
historical texts. In this paper we first introduce A-PoCoTo, a fully automated extension of …

This paper outlines the construction of the corpus Alpenwort, a large, genre-based corpus of
German texts on alpinism. We report on issues related to building the corpus from the …

The corpus of historical newspapers and journals published in Finland, with more than 11
million pages of historical text, is of great value to the research community. The National …

This study focuses on isolated error detection in a retro-digitized newspaper corpus
published from 1946 to 1990 in the former German Democratic Republic. As there are OCR …

Artificial neural networks (ANN) has the capability to analyze raw data from processing input-
output relationships. This function considers them important in areas of industry with such …

This paper presents the design and development of the OPATCH1 corpus platform for the
processing and delivery of heterogeneous text collections for different usage scenarios …

This paper presents the visual corpus interface created within the OPATCH project ('Open
Platform for access to and Analysis of Textual documents of Cultural Heritage'). The interface …

Data from highly structured source material (so-called serial sources) is used in a variety of
research areas, such as demography or economic history. When the goal of a transcription …