معرفی
Nikolaos Tsourakis is a researcher affiliated with the University of Geneva, specifically the Faculty of Translation and Interpreting, and contributes to the TIM/ISSCO research groups. His work primarily focuses on natural language processing, speech technology, and computer-assisted language learning (CALL), with a strong emphasis on accessibility and medical applications.
- Research Interests
- Natural Language Processing
- Speech-to-Speech Translation
- Text Simplification
- Computer-Assisted Language Learning (CALL)
- Medical Informatics
- Multimodal Interaction
Tsourakis's recent publications highlight advancements in French text simplification, robust synthetic data generation, and the use of BERT for complexity assessment. His work often integrates machine learning techniques with practical applications in medical and educational contexts.
- Notable Projects
- BabelDr: Web platform for rapid development of medical speech translation
- CALL-SLT: Spoken CALL systems for language learning
- MEDSLT: Medical speech translation systems
Tsourakis has supervised no formal advisees but has contributed to numerous publications and research initiatives, particularly in low-resource language processing and ethical AI design.
