Aim of the DynAT research area “AI meets Variationist Linguistics” is to bundle and expand the AI-supported research of the DynAT sub-projects. This includes research on how lexicographic processes can be enhanced by means of AI, the exploration of methods of natural language processing for innovative variationist linguistic analyses or the investigation of automatic speech recognition tasks for preparing and processing linguistic data. In addition, this research area also methodologically reflects on challenges and potentials of AI-tools in linguistic research.

The following sub-projects contribute to the DynAT research area "AI meets Variationist Linguistics":

• WBÖ – Lexicographic Documentation of 20th-Century Bavarian Dialects 

• Lexicography meets AI 

• Austriacisms – AMC meets Variationist Linguistics

• ASR meets Historical Dialect Data

Cooperation/Satellite projects 

The following externally funded projects, which are situated in the context of the research unit Linguistics of the ACDH or which are cooperation projects (with external PI) working with the research unit, are closely linked to the DynAT activities and contribute significantly to the research area "AI meets Linguistics":

• BASyQ – Bavarian Dialects of Austria and South Tyrol in the 20th Century – Quantitative Analyses Based on the WBÖ Corpus (FWF 10.55776/PAT1009925; PI: Philipp Stöckle)

• LexVAD20 – Lexical Variation of Austrian Dialects in the 20th century (FWF 10.55776/PAT1412824, PI: Alexandra N. Lenz)