
ntsourakis@iun.ch
Information Technology
Greek
Ph.D. in Informatics, University of Geneva, Switzerland
M.Sc. in Engineering Management, Greece
B.Sc. in Electronic and Computer Engineering, Greece
Nikos has more than 20 years of experience in designing, building, and evaluating intelligent systems using speech and language technologies. In the past, he worked as a Software Engineer developing products for major telecommunication vendors. In the context of various projects, he performed user studies for addressing the factors that influence the success and failure of human-machine interfaces. Currently, he is employed as a Research Associate at the University of Geneva, where he co-authored more than 50 research publications. He also served as an Expert Reviewer for the European Commission. At IIG he is involved in teaching activities in the area of Computer Science.
His most recent publications are listed below:
Peer-reviewed work
Books:
Tsourakis, N. (2022). Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation. Packt Publishing.
Articles:
Tsourakis Nikos (2024) “Setting Educational Objectives for the Book: Machine Learning Techniques for Text” Journal of International Business and Diplomacy, (1) 1.
L. Ormaechea, N. Tsourakis, P. Bouillon, D. Schwab and B. Lecouteux (2023) “Simple, simpler and beyond: A fine-tuning BERT-based approach to enhance sentence complexity assessment for text simplification,” Proceedings of the 6th International Conference on Natural Language and Speech Processing (ICNLSP), Trento. Italy.
Ormaechea Grijalba, L., Tsourakis, N. (2023) ‘Extracting sentence simplification pairs from French comparable corpora using a two-step filtering method.’ In: Proceedings of the 8th Swiss Text Analytics Conference 2023 (SwissText). Neuchâtel.
Tsourakis, N., Baur, C., & Rayner, M. (2020). ‘Constructing Knowledge-Based Feedback in the Context of an Interactive Spoken CALL Application.’ International Journal of Computer-Assisted Language Learning and Teaching 7(3).
Chapters in edited volumes and articles in conference proceedings:
Akhlaghi, E., Auðunardóttir, I. I., Bączkowska, A., Bédi, B., Beedar, ..., Tsourakis, N. & Yao, C. (2022). ‘Using the LARA Little Prince to compare human and TTS audio quality.’ In Proceedings of the 13th Language Resources and Evaluation Conference.
Akhlaghi, E., Bączkowska, A., Berthelsen, H., Bédi, B., Chua, C., Cucchiarini, C., ..., Tsourakis, N. & Yao15, C. (2021). ‘Assessing the quality of TTS audio in the LARA learning-by-reading platform.’ CALL and professionalisation: short papers from EUROCALL 2021.
Bouillon, P., Gerlach, J., Mutal, J., Tsourakis, N., & Spechbach, H. (2021). ‘A speech-enabled fixed-phrase translator for healthcare accessibility. ’ In Proceedings of the 1st Workshop on NLP for Positive Impact.
Tsourakis, N., Troqe, R., Gerlach, J., Bouillon, P., & Spechbach, H. (2020). ‘An albanian text-to-speech system for the Babeldr medical speech translator.’ In Digital Personalized Health and Medicine. IOS Press.