There is no consensus on the state-of-the-art approach to historical text normalization. Many
techniques have been proposed, including rule-based methods, distance metrics, character …

This book is an innovative guide to quantitative, corpus-based research in historical and
diachronic linguistics. Gard B. Jenset and Barbara McGillivray argue that, although historical …

Abstract Hildegard of Bingen (1098–1179) is one of the most influential female authors of
the Middle Ages. From the point of view of computational stylistics, the oeuvre attributed to …

We propose a language-independent word normalization method exemplified on
modernizing historical Slovene words. Our method relies on character-based statistical …

With the increasing availability of digitized resources of historical documents, interest in
effective natural language processing (NLP) for these documents is on the rise. However …

This paper presents an overview of the LL (O) D and NLP methods, tools and data for
detecting and representing semantic change, with its main application in humanities …

In this article, we describe a novel approach to sequence tagging for languages that are rich
in (eg orthographic) surface variation. We focus on lemmatization, a basic step in many …

Lemmatisation, which is one of the most important stages of text preprocessing, consists in
grouping the inflected forms of a word together so they can be analysed as a single item …

We propose a language-independent word normalisation method and exemplify it on
modernising historical Slovene words. Our method relies on character-level statistical …

We aim to tackle the problem of spelling variations in a corpus of personal Portugese letters
from the 16th to the 20th century. We investigated the extent to which the task of normalising …