Texts encoded using the Text Encoding Initiative Guidelines (TEI) are ideally suited to close examination using a variety of digital methodologies and tools. However, because the TEI is a broad set of guidelines rather than a single schema, and because encoding practices and standards vary widely between collections, programmatic interchange among projects can be difficult. Software that operat...

As the number of scholarly encoded digital texts is increasing, creating models of these kinds of texts with the help of digital tools is becoming more and more interesting. In connection with this type of work, it is important to have a clear understanding of what these particular models are based on. They will clearly be based on certain readings of the source texts, but we need to keep track...

In his article "New Challenges for the Archiving of Digital Writing" Heiko Zimmermann discusses the challenges of the preservation of digital texts. In addition to the problems already at the focus of attention of digital archivists, there are elements in digital literature which need to be taken into consideration when trying to archive them. Zimmermann analyses two works of digital literature...

Dimitrios Kokkinakis and Mats Malm Introduction Multifaceted relations between texts can be complex, abstract, diverse or subtle. Digital humanists are interested in identifying pairs of text passages likely to contain substantial overlap and empirically supporting (hopefully) new interpretations of historical texts. For instance, Cordell [3] discusses how digital interpretive tools can help ma...

Scholars of Classics cite ancient texts by using abridged citations called canonical references. In the scholarly digital library, canonical references create a complex textile of links between ancient and modern sources reflecting the deep hypertextual nature of texts in this field. This paper aims to demonstrate the suitability of Conditional Random Fields (CRF) for extracting this particular...

Lemmatization for the Sumerian language, compared to the modern languages, is much more challenging due to that it is a long dead language, highly skilled language experts are extremely scarce and more and more Sumerian texts are coming out. This paper describes how our unsupervised Sumerian named-entity recognition (NER) system helps to improve the lemmatization of the Cuneiform Digital Librar...

This paper presents the problem within Hittite and Ancient Near Eastern studies of fragmented and damaged cuneiform texts, and proposes to use well-known text classification metrics, in combination with some facts about the structure of Hittite-language cuneiform texts, to help classify a number of fragments of clay cuneiform-script tablets into more complete texts. In particular, I propose usi...

Illegal copies of digital objects (images, texts, movies, music etc.) are easy to make. With the use of Internet more and more products are distributed in its digital form. To prevent illegal redistribution we propose to uniquely mark each distributed copy with a digital fingerprint. This fingerprint has to be part of the information to prevent it from being easily removed. This method is discu...

Experts in construction engineering are overwhelmed by regulatory texts. It is a heavy task to go through these texts and get an unambiguous list of requirements they contain. Moreover, with regard to the number of texts and the diversity of their writers, we cannot neglect the possibility of getting inconsistencies. Finally, these requirements are to be put close to digital representation of b...

This paper focuses on changing reading characteristics and presents a study among a group of expert readers. Considering technological bases of reading and applying corporeal and material perspectives, this study examines manners in which proficient readers handle printed and digital texts, attempting to explain differences in digital and paper–based reading. Based on findings, this paper refle...