The paper argues that the current implementation of digital publishing is a minor step in a long development of digital text cycles. Rather than being a revolution, the digital transformation of text is an evolutionary process heavily influenced by social and cultural factors. The paper introduces the concept of a "text cycle". An examination of basic features of paper-based text cycles and fea...

The paper presents a software architecture aiming to improve accessibility to information in specialized texts, with focus on medical texts. This software also addresses other problems related to text accessibility such as vision problems and language problems. It allows text input in any media format (text, image, sound) and outputs the text as digital text or sound, permitting the user to sca...

Leipzig University’s (LU) Alexander von Humboldt Chair for Digital Humanities—has achieved Optical Character Recognition (OCR) accuracy rates for classical Arabic-script texts in the high nineties. These numbers are based on our tests of seven different Arabic-script texts of varying quality and typefaces, totaling over 7,000 lines (~400 pages, 87,000 words; see ​Table 1​ for full details). The...

We are developing a bidirectional recommendation system that extracts the relationship among digital texts with historical logs, and recommends the optimum texts for learners using data mining methods, such as collaborative filtering. In this paper, we first discuss the bidirectional recommendation and then show results from an evaluation of actual use. Finally, we propose a method for a collab...

The rapid and ubiquitous proliferation of new media literacy tools and texts create opportunities for widespread innovation, and challenges the traditional English, Language Arts analysis and description of the processes of literacy in a digital world. The authors of this issue address these changes in articles that draw upon their personal experiences, research, teaching, and participatory res...

In the last decades, the amount of digital data has grown rapidly. This also impacted the humanities field where the humanists and computer scientists collaborate to digitize historical texts for preservation purpose. Due to this effort, many historical texts that were accessible to few scholars became widely available in form of digital texts. The focus shifted from printed to digital texts. T...

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...

With such increasing popularity and availability of digital text data, authorships of digital texts can not be taken for granted due to the ease of copying and parsing. This paper presents a new text style analysis called natural frequency zoned word distribution analysis (NFZ-WDA), and then a basic authorship attribution scheme and an open authorship attribution scheme for digital texts based ...