The project t.evo targets the identification of suitable indicators for diachronic change of text patterns based on two highly relevant genres in recent language history. The study will be performed using corpus-based methods and with the help of digital resources and tools for the analysis and annotation of corpora which were provided by different projects for re-use (e.g. German Text Archive, WebLicht, Catma).
In t.evo, we plan to systematically investigate patterns of the structural, functional, social, and stylistic dimensions of texts. Since patterns associated with these dimensions can mostly be acquired from the textual surface, we can draw on the results of conventional computational linguistic analysis tools. In addition, we will apply manual annotation wherever features cannot yet be reliably extracted with automatic methods. All features extracted will undergo statistical analysis and the results will then be verified and interpreted based on the actual text sources.
Analyses will be based on digital corpora of newspapers on the one hand, and devotional literature on the other hand, thus including two genres which had a firmly established place in everyday life for a wide range of recipients in their time. The variety of text types considered is expected to lead to far-reaching results regarding the manifestations of diachronic change of text patterns in general, thus ensuring the applicability of techniques developed by the project to analysis of further text types.