RA 01
Comparable corpus
Collection and contrastive analysis of university institutional texts across German, English and Italian.
Completed
Human-Centered Artificial Intelligence for Gender Sensitive Linguistic Simplification in German, English and Italian Institutional Communication
HCI4GEND investigates university institutional communication through the integration of linguistics, law, computer science and psycholinguistics. The project combines corpus-based linguistic research, psycholinguistic experimentation, and human-centered artificial intelligence to understand how institutional language can become clearer, more accessible, and more gender-sensitive.
See moreThe findings are translated into an AI-powered writing assistant that supports inclusive institutional communication.
Research objectives
Examine current linguistic practices in university institutional communication through a multilingual corpus, identifying strategies for accessibility and gender-sensitive language.
Develop and validate gender-sensitive rewriting strategies through a parallel corpus and psycholinguistic experiments assessing readability, comprehension and language processing.
Design and train an open-source, human-centered AI writing assistant that supports inclusive institutional communication while preserving legal accuracy.
RA 01
Collection and contrastive analysis of university institutional texts across German, English and Italian.
CompletedRA 02
Alignment of source materials and simplified, gender-sensitive versions for systematic comparison.
CompletedRA 03
Empirical testing of comprehension and processing for selected linguistic strategies.
CompletedRA 04
Design of a human-centered tool proposing grammatical options for gender-sensitive institutional writing.
CompletedPublications
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