Accessing historical texts is often a challenge because readers either do not know the historical language, or they are challenged by the technological hurdle when such texts are available digitally. Merging corpus linguistic methods and digital technology can provide novel ways of representing historical texts digitally and providing a simpler access. In this paper, we describe a multi-dimensi...

The application of NLP tools to historical texts is complicated by a high level of spelling variation. Different methods of historical text normalization have been proposed. In this comparative evaluation I test the following three approaches to text canonicalization on historical German texts from 15th–16th centuries: rule-based, statistical machine translation, and neural machine translation....

The paper describes a tool developed to process historical (Slovene) text, which annotates words in a TEI encoded corpus with their modern-day equivalents, morphosyntactic tags and lemmas. Such a tool is useful for developing historical corpora of highly-inflecting languages, enabling full text search in digital libraries of historical texts, for modernising such texts for today's readers and m...

houshang, second mythical king of iran, is introduced as pishdad in historical texts. he had the most important duties such as collecting water in ponds, ordering to hunt wild animals, clothes making, carpeting using animal's skin, and encouraging people to agriculture. arabic historical texts are written in the early islamic centuries narrating the stories of persian kings. they were derived f...

Current approaches in Digital .Humanities tend to ignore a central aspect of any hermeneutic introspection: the intrinsic vagueness of analyzed texts. Especially when dealing with historical documents neglecting vagueness has important implications on the interpretation of the results. In this paper we present current limitation of annotation approaches and describe a current methodology for an...

The identification of spelling variants in English and German historical texts: manual or automatic? Dawn ARCHER (University of Central Lancashire) Andrea ERNST-GERLACH, Sebastian KEMPKEN, Thomas PILZ (Universität Duisburg-Essen) Paul RAYSON (Lancaster University) The identification of spelling variants in English and German historical texts: manual or automatic?

With the new interest in historical documents insight grew that electronic access to these texts causes many specific problems. In the first part of the paper we survey the present role of digital historical documents. After collecting central facts and observations on historical language change we comment on the difficulties that result for retrieval and data mining on historical texts. In the...

a large number of people are affected by cancer and the primeval history of this malady has attracted attention toward complementary and alternative therapies to manage this disease. the present study has performed a survey on cancer in the iranian traditional medicine during the islamic era (itm) by focusing on cancer terminologies and related diseases over a millennium, from medieval to the e...

Furthermore, historical texts are not passed down through the centuries in their entirety but rather contain lacunae and fragmentary words. This makes automatic post-correction more difficult on historical texts than on modern ones. We used two tools to create languageand even documentspecific recognition patterns (or so-called models) to recognize printed Coptic texts. Coptic is the last stage...

The seminar brought together scholars from (historical) linguistics, (historical) philology, computational linguistics and computer science who work with collections of historical texts. These texts or digital libraries or corpora are collected for a number of different purposes such as lexicography, history, linguistics, philology etc. This, naturally, leads to different decisions in their des...