Manuela Hürlimann

Work at ZHAW

Position

Research Associate in Natural Language Processing

Network

ORCID digital identifier

ORCID ID: 0009-0008-5185-6876

Projects

• A Digital Speech and Language Sample Application for Clinical Diagnostics and Monitoring in Swiss German / Team member / ongoing
• NLP Community Building / Deputy project leader / ongoing
• Use of Large Language Models to improve Speech-to-text output / Deputy project leader / completed
• Towards a Voice-Based Chatbot for Language Learners / Project leader / completed
• Speech-to-Text for Swiss German / Project leader / completed

Publications

Articles in scientific journal, peer-reviewed

Schreiber, M. et al. (2025) 'A discourse on the use of machine learning (ML) in personality psychology : can we expect ML to predict questionnaire scores from idiographic text-based data?', Journal of Research in Personality, 119(104666). doi: 10.1016/j.jrp.2025.104666.

Written conference contributions, peer-reviewed

• Gerber, J. et al. (eds) (2025) Proceedings of the 10th edition of the Swiss Text Analytics Conference, 10th Swiss Text Analytics Conference – SwissText 2025, Winterthur, Switzerland, 13-15 May 2025. Association for Computational Linguistics. Available at: https://aclanthology.org/2025.swisstext-1.0/.
• Cieliebak, M., Gerber, J. and Hürlimann, M. (2025) 'SwissCoco2025 : the Swiss Corpora Collection 2025', in Gerber, J. et al. (eds) Proceedings of the 10th edition of the Swiss Text Analytics Conference. Association for Computational Linguistics, pp. 133–148. doi: 10.21256/zhaw-36110.
• Michot, J. et al. (2024) 'Error-preserving automatic speech recognition of young English learners' language', in Ku, L.-W., Martins, A., and Srikumar, V. (eds) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, pp. 6444–6454. doi: 10.18653/v1/2024.acl-long.348.
• Belz, A. et al. (2023) 'Missing information, unresponsive authors, experimental flaws : the impossibility of assessing the reproducibility of previous human evaluations in NLP', in The Fourth Workshop on Insights from Negative Results in NLP. Association for Computational Linguistics, pp. 1–10. doi: 10.18653/v1/2023.insights-1.1.
• Plüss, M. et al. (2023) 'STT4SG-350 : a speech corpus for all Swiss German dialect regions', in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, pp. 1763–1772. doi: 10.18653/v1/2023.acl-short.150.
• Hürlimann, M. and Cieliebak, M. (2023) 'Reproducing a comparative evaluation of German text-to-speech systems', in Belz, A. et al. (eds) Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems. Shoumen: INCOMA, pp. 136–144. doi: 10.21256/zhaw-29262.
• Ghorbel, H. et al. (eds) (2023) Proceedings of the 8th edition of the Swiss Text Analytics Conference, 8th Swiss Text Analytics Conference – SwissText 2023, Neuchâtel, Switzerland, 12-14 June 2023. Association for Computational Linguistics. Available at: https://aclanthology.org/2023.swisstext-1.0/.
• Plüss, M. et al. (2022) 'SDS-200 : a Swiss German speech to Standard German text corpus', in Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022). European Language Resources Association, pp. 3250–3256. doi: 10.21256/zhaw-26131.
• Ulasik, M. A. et al. (2021) 'ZHAW-CAI : ensemble method for Swiss German speech to Standard German text', in Benites de Azevedo e Souza, F. et al. (eds) Proceedings of the Swiss Text Analytics Conference 2021. CEUR Workshop Proceedings. doi: 10.21256/zhaw-23889.
• Benites, F. et al. (eds) (2021) Proceedings of the Swiss Text Analytics Conference 2021, 6th Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021. CEUR Workshop Proceedings. Available at: http://ceur-ws.org/Vol-2957/.
• Ulasik, M. A. et al. (2020) 'CEASR : a corpus for evaluating automatic speech recognition', in Calzolari, N. et al. (eds) Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association, pp. 6477–6485. doi: 10.21256/zhaw-20125.
• Benites de Azevedo e Souza, F. et al. (2020) 'ZHAW-InIT : social media geolocation at VarDial 2020', in Zampieri, M. et al. (eds) Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects. International Committee on Computational Linguistics, pp. 254–264. doi: 10.21256/zhaw-21551.
• Büchi, M. et al. (2020) 'ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text', in Ebling, S. et al. (eds) Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. doi: 10.21256/zhaw-21550.
• Ebling, S. et al. (eds) (2020) Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), 5th SwissText & 16th KONVENS Joint Conference, online, 24-25 June 2020. Available at: http://ceur-ws.org/Vol-2624/.

Other publications

• Hürlimann, M. et al. (eds) (2023) Proceedings of the Swiss Text Analytics Conference 2022, 7th Swiss Text Analytics Conference – SwissText 2022, Lugano, Switzerland, 8-10 June 2022. CEUR Workshop Proceedings. Available at: https://ceur-ws.org/Vol-3361/.
• Paonessa, C. et al. (2023) Dialect transfer for Swiss German speech translation. arXiv. doi: 10.48550/arXiv.2310.09088.
• Hürlimann, M., Galbier, J. and Cieliebak, M. (2022) 'Speech-to-text technology for hard-of-hearing people', ERCIM News, (130), pp. 15–16. doi: 10.21256/zhaw-27071.
• von Däniken, P., Hürlimann, M. and Cieliebak, M. (2020) 'Overview of the GermEval 2020 shared task on Swiss German language identification', in Ebling, S. et al. (eds) Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS). CEUR Workshop Proceedings. doi: 10.21256/zhaw-21549.

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