Ekaterina Lapshinova-Koltunski – författare

In contrastive linguistics of English and German, there is a tradition of accounting for contrasts with respect to grammar and, to a lesser extent, for lexis and phonetics. Moving on to discourse and text, there is a sizeable body of literature on cohesive patterns in English and German respectively - but very little in terms of a comparison. The latter, though, is of particular interest for language learners, translators and, of course, linguists and researchers in language technology. This book attempts to close this gap, based on a number of years of corpus-based study into variation and cohesion in the two languages. While there is an overall focus on language contrasts, it also investigates variation between different registers language-internally, and between written and spoken mode in particular. For each of the five major types of cohesion (co-reference, substitution, ellipsis, conjunctive relations and lexical cohesion), overviews are given of contrasts in the system and of contrastive frequencies in texts. Results and methods presented in this book are thus relevant for language teaching, translation, language technology and corpus-based work on English and German generally.

Dieser Leitfaden erschließt das Potenzial von KI für verständliche Texte. Er basiert auf den Ergebnissen einer Forschungskooperation zwischen dem Wort & Bild Verlag, der Forschungsstelle Leichte Sprache der Uni Hildesheim und dem KI-Unternehmen SUMM AI. Besonders Profis aus dem Bereich Journalismus, Texterstellung und Übersetzung finden hier Orientierung und konkrete Anleitungen, wie sie KI effizient in ihre redaktionellen Abläufe integrieren können.

This guide unlocks the potential of AI for comprehensible texts. It is based on the results of a research collaboration between Wort & Bild Verlag, the Research Centre for Easy Language at the University of Hildesheim, and the AI company SUMM AI. Especially professionals in the fields of journalism, copywriting, and translation will find guidance and concrete instructions on how to efficiently integrate AI into their editorial processes.