The Text Technology Lab
The Text Technology Lab investigates formal, algorithmic models to deepen our understanding of information processing in the humanities. We examine diachronic, time-dependent as well as synchronic aspects of processing linguistic and non-linguistic, multimodal signs. The Lab works across several disciplines to bridge between computer science on the one hand and corpus-based research in the humanities on the other. To this end, we develop information models and algorithms for the analysis of texts, images, and other objects relevant to research in the humanities. As an outcome of this research, our data and methods are offered online by our web-based eHumanities Desktop, which has been developed to provide text-technological sustainability.

Handbook Of Technical Communication (in preparation)
[bib] [web]
2012

Towards An Information Theory Of Complex Networks
[bib]
2011

Modeling, Learning and Processing of Text Technological Data Structures
[bib] [web]
2011

Genres On The Web: Computational Models and Empirical Studies
[bib] [web] [review]
2010

Medienwandel Als Wandel Von Interaktions- formen
[bib] [web]
2010

Automatic Genre Identification: Issues and Prospects
[bib] [web]
2009

Lexical Semantic Resources In Automated Discourse Analysis
[bib] [web]
2008

Aspects of Automatic Text Analysis
[bib] [web]
2007

Korpuslinguistik
[bib] [web]
2005

Text Mining
[bib] [web]
2005

Automatische Textanalyse
[bib] [web]
2003

Textbedeutung. Zur prozeduralen Analyse und Repräsentation struktureller Ähnlichkeiten von Texten
[bib] [web][pdf]
2001

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