A growing volume of heritage data is being digitized and made available as text via optical
character recognition (OCR). Scholars and libraries are increasingly using OCR-generated …

This article aims to quantify the impact optical character recognition (OCR) has on the
quantitative analysis of historical documents. Using Eighteenth Century Collections Online …

This paper introduces two new large corpora comprised of YouTube Automatic Speech
Recognition (ASR) transcripts of the speech of videos from geographically localized …

A great deal of historical corpora suffer from errors introduced by the OCR (optical character
recognition) methods used in the digitization process. Correcting these errors manually is a …

Historical corpora are known to contain errors introduced by OCR (optical character
recognition) methods used in the digitization process, often said to be degrading the …

Text databases have grown tremendously in number, size, and volume over the last few
decades. Optical Character Recognition (OCR) software is used to scan the text and make …

The aim of this study was to verify the possibility of Sor Juana Inés de la Cruz authoring the
anonymous part of the baroque play La Segunda Celestina, commissioned to Agustín de …

Stylometric analysis of medieval vernacular texts is still a significant challenge: the
importance of scribal variation, be it spelling or more substantial, as well as the variants and …

Methods and techniques of feature selection support expert domain knowledge in the
search for attributes, which are the most important for a task. These approaches can also be …

When patterns to be recognised are described by features of continuous type, discretisation
becomes either an optional or necessary step in the initial data pre-processing stage …