Recent research (with selected publications) (Full List on [Google Scholar]):

Conversational abilities of LLMs

• Wang, S. F., Huang, R. S., Hsieh, S. K., & Prévot, L. (2025). Zero-Shot Evaluation of Conversational Language Competence in Data-Efficient LLMs Across English, Mandarin, and French. In Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). [URL]
• Wang, S. F., Prévot, L., Chi, J. A., Huang, R. S., & Hsieh, S. K. (2025). Spontaneous Speech Variables for Evaluating LLMs’ Cognitive Plausibility. Presented at the 14th Workshop on Cognitive Modeling and Computational Linguistics (CMCL). [URL]
• Prévot, L., Wang, S. F., Chi, J. A., & Hsieh, S. K. (2024). Extending the BabyLM initiative: Promoting diversity in datasets and metrics through high-quality linguistic corpora. In The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning. [URL]

Discourse units in conversation

• Prévot, L., & Muller, P. (2025). A Few Shades of Supervision for Discourse Segmentation: Experiments on a French conversational corpus. Dialogue & Discourse, 16(2), 35–73. [DOI]
• Prévot, L., Bertrand, R., & Hunter, J. (2025). Segmenting a Large French Meeting Corpus into Elementary Discourse Units. In Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). [URL]
• Prévot, L., Muller, P., Tseng, S.-C., & Wang, S.-F. (2025). LLM-based Elementary Discourse Units Segmentation for Spontaneous Speech in French, Taiwan Mandarin, and Taiwan Southern Min. International Journal of Computational Linguistics and Chinese Language Processing. [PDF]
• Prévot, L., Bertrand, R., & Rauzy, S. (2021). Investigating disfluencies contribution to discourse–prosody mismatches in French conversations. In The 10th Workshop on Disfluency in Spontaneous Speech (DiSS). [PDF]
• Prévot, L., Tseng, S.-C., Peshkov, K., & Chen, A. C. H. (2015). Processing units in conversation: A comparative study of French and Mandarin data. Language and Linguistics, 16(1), 69–92. [PDF] [DOI]

Biais against genuine conversational speech in computational approaches

• Pilan, I., Prévot, L., Buschmeier, H., & Lison, P. (2024). Conversational feedback in scripted versus spontaneous dialogues: A comparative analysis. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). [URL]
• Prévot, L., Magistry, P., & Lison, P. (2019). Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin. In Third International Symposium on Linguistic Patterns of Spontaneous Speech. [PDF]

Conversational feedback

• Nikolaus, M., Prévot, L., & Fourtassi, A. (2023). Communicative feedback in response to children’s grammatical errors. In Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci). [PDF]
• Prévot, L., Gorisch, J., & Mukherjee, S. (2015). Annotation and classification of French feedback communicative functions. In Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC). [PDF]
• Muller, P., & Prévot, L. (2003). An empirical study of acknowledgment structures. In 7th Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL). [[PDF]]

Language corpora and resources

• Hunter, J., Yamasaki, H., Granier, O., Louradour, J., Bertrand, R., Thompson, K., & Prévot, L. (2024). SUMM-RE: A corpus of French meeting-style conversations. In 31ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN). [PDF] [Corpus]
• Hervé, E., François, C., & Prévot, L. (2024). Daily auditory environments in French-speaking infants: A longitudinal dataset. Workshop on Cognitive Modeling and Computational Linguistics (CMCL). [[URL]]
• Bodur, K., Nikolaus, M., Kassim, F., Prévot, L., & Fourtassi, A. (2021). Chico: A multimodal corpus for the study of child conversation. In Companion Proceedings of the International Conference on Multimodal Interaction (ICMI). [URL]
• Rauchbauer, B., Hmamouche, Y., Bigi, B., Prévot, L., Ochs, M., & Chaminade, T. (2020). Multimodal corpus of bidirectional conversation of human–human and human–robot interaction during fMRI scanning. In Proceedings of the Language Resources and Evaluation Conference (LREC). [PDF] [Corpus]
• Prévot, L., Gorisch, J., & Bertrand, R. (2016). A CUP of CoFee: A large collection of feedback utterances provided with communicative function annotations. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC). [[URL]]