Artificial intelligence has long become a part of our everyday lives. Due to the progress of mainstream applications such as automatic speech recognition in recent years, the use of AI in professional research and practice contexts is increasingly conceivable. The transdisciplinary team of the TALC project (Tools for Analyzing Language and Communication) explores potential applications of machine learning in linguistic, speech therapy, and educational settings. TALC aims to bring recognized research methods, such as spontaneous speech analysis (TALC-LSA subproject), into the 21st century. TALC aims to enhance the reach and practicality of diagnostic procedures, such as reading diagnostics (TALC-DIRA subproject), through AI-based automation.
At the same time, ethical and legal frameworks for the application of artificial intelligence are to be designed to ensure the potential of this technology for all users. That is our transdisciplinary vision.
TALC Team
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TALC Germany
- Prof. Dr. habil. Ulrike Lüdtke (LUH - IfS)
- Prof. Dr.-Ing. Jörn Ostermann (LUH - tnt)
- Dr. Hanna Ehlert (LUH - IfS)
- Lars Rumberg (LUH - tnt)
- Christopher Gebauer (LUH - tnt)
- Edith Beaulac (LUH - IfS)
- Maren Wallbaum (LUH - IfS)
- Kristina-Maren Stelze (LUH - IfS)
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TALC South Africa
- Prof. Juan Bornman (Stellenbosch University)
- Prof. Jeannie van der Linde (University of Pretoria)
- Dr. Febe de Wet
Informations for Students
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Thesis in the TALC Project
Currently, various theses (both theoretical and empirical) at the Bachelor's and Master's levels are available within the TALC project.
Possible topics in TALC-LSA: Methodologies of language acquisition research, analysis of spontaneous speech samples for monolingual language acquisition (with a thematic focus on the lexical level). If you are interested, please send an email to the TALC group leader, Dr. Hanna Ehlert.
Possible topics in TALC-DIRA: Support and analysis of data collection in 2024 for the pilot of the TALC-DIRA app (AI-based reading diagnostics in primary school age). If you are interested, please send an email to Ms. Wallbaum (maren.wallbaum@ifs.uni-hannover.de) or Ms. Stelze (kristina.stelze@ifs.uni-hannover.de).
Contact
30159 Hannover