Publications

de Carvalho, A., Dautriche, I., Fiévet, A. & Christophe, A. (2021). Toddlers exploit referential and syntactic cues to flexibly adapt their interpretation of novel verb meanings. Journal of Experimental Child Psychology, 203(105017). doi:10.1016/j.jecp.2020.105017

Zuberbühler, K., Chemla, E. & Schlenker, P. (2021). Stereotyped vocalizations. Encyclopedia of Evolutionary Psychological Science (pp. 7970-7974).Springer. doi:10.1007/978-3-319-16999-6_3330-1

Chemla, E. & Egré, P. (2021). From many-valued consequence to many-valued connectives. Synthese, 198, 5315-5352. doi:10.1007/s11229-019-02344-0

Buccola, B., Križ, M. & Chemla, E. (2022). Conceptual Alternatives: Competition in Language and Beyond. Linguistics and Philosophy, 45(2 ), 265–291. doi:10.1007/s10988-021-09327-w

Denic, M., Homer, V., Rothschild, D. & Chemla, E. (2021). The influence of polarity items on inferential judgments. Cognition, 215, 104791. doi:10.1016/j.cognition.2021.104791

Rita, M., Strub, F. , Pietquin, O. & Dupoux, E. (2022). Population size and agent heterogeneity in simulated language emergence. In Proc. of ICLR .

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington’s disease: a lightweight speech test. J Neurol, . doi:10.1007/s00415-022-11148-1

Ludusan, B., Morii, M., Minagawa, Y. & Dupoux, E. (2021). The effect of different information sources on prosodic boundary perception. JASA Express Letters , 1(115203 ). doi:10.1121/10.0007150

Ludusan, B., Cristia, A., Mazuka, R. & Dupoux, E. (2022). How much does prosody help word segmentation? A simulation study on infant-directed speech. Cognition, 219(104961). doi:10.1016/j.cognition.2021.104961

Kouider, S., de Gardelle, V., Sackur, J. & Dupoux, E. (2010 ). How rich is consciousness? The partial awareness hypothesis. Trends in Cognitive Sciences, 14(7), 301-307. doi:10.1016/j.tics.2010.04.006

Kouider, S., Stahlhut, C., Gelskov, S., Barbosa, L., Dutat, M., de Gardelle, V., Christophe, A., Dehaene, S. & Dehaene-Lambertz, G. (2013). A neural marker of perceptual consciousness in infants. Science (New York, N.Y.), 340(6130), 376-80. doi:10.1126/science.1232509

Kouider, S., de Gardelle, V., Dehaene, S., Dupoux, E. & Pallier, C. (2010). Cerebral bases of subliminal speech priming. Neuroimage, 49(1), 922-929. doi:10.1016/j.neuroimage.2009.08.043

Dupoux, E., de Gardelle, V. & Kouider, S. (2008). Subliminal speech perception and auditory streaming. Cognition, 109(2), 267-273. doi:10.1016/j.cognition.2008.06.012

Kabdebon, C., FLO, A., de Heering, A. & Aslin, R. (2022). The power of rhythms: how steady-state evoked responses reveal early neurocognitive development. NeuroImage, 254(119150). doi:10.1016/j.neuroimage.2022.119150

Babineau, M. & Christophe, A. (2022). Preverbal infants' sensitivity to grammatical dependencies. . doi:10.1111/infa.12466

O'Madagain, C., Kachel , G. & Strickland, B. (2019). The Origin of Pointing: Evidence for the Touch Hypothesis. Science Advances, 5(7), eaav2558. doi:10.1126/sciadv.aav2558

Bernard, A., Bredeche, N. & Andre, J. (2020). Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game. Evolution Letters, 4(3), 257-265. doi:10.1002/evl3.155

Schatz, T., Feldman, N., Goldwater, S., Cao, X. & Dupoux, E. (2021). Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input. In National Academy of Sciences (Eds.), Vol. 118: In Proceedings of the National Academy of Sciences, 7. doi:10.31234/osf.io/fc4wh

Rivière, M. & Dupoux, E. (2021). Towards unsupervised learning of speech features in the wild. In 2021 IEEE Spoken Language Technology Workshop (SLT), 156-163.

Er Jiang, B., Dunbar, E., Sonderegger, M., Clayards, M. & Dupoux, E. (2020). Modelling Perceptual Effects of Phonology with ASR Systems. In CogSci 2020-42nd Annual Virtual Meeting of the Cognitive Science Society.

Ludusan, B., Mazuka, R. & Dupoux, E. (2021). Does infant-directed speech help phonetic learning? A machine learning investigation. Cognitive Science, 45(5), e12946. doi:10.1111/cogs.12946

Rivière, M., Mazaré, P., Joulin, A. & Dupoux, E. (2020). Unsupervised pretraining transfers well across languages. In IEEE (Eds.), In ICASSP-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/ICASSP40776.2020.9054548

Bernard, M., Thiollière, R., Saksida, A., Loukatou, G., Larsen, E., Johnson, M., Fibla, L., Dupoux, E., Daland, R., Cao, X. & Cristia, A. (2020). WordSeg: Standardizing unsupervised word form segmentation from text. Behavior research methods, 52(1), 264-278. doi:10.3758/s13428-019-01223-3

Guevara-Rukoz, A. , Yu, S. & Peperkamp, S. (2021). Speech perception and loanword adaptations: the case of copy-vowel epenthesis. In Proceedings of INTERSPEECH, Brno, Czech Republic.

Melnik, G. , Turnbull, R. & Peperkamp, S. (2021). On the relationship between perception and production of L2 sounds: Evidence from Anglophones’ processing of the French /u/–/y/ contrast. Second Language Research. doi:10.1177/0267658320988061

Carbajal, J., Peperkamp, S. & Tsuji, S. (2021). A meta-analysis of infants’ word-form recognition. Infancy, 26, 369-387. doi:10.1111/infa.12391

Melnik, G. & Peperkamp, S. (2021). High-Variability Phonetic Training enhances second language lexical processing: evidence from online training of French learners of English. Bilingualism: Language and Cognition, 24, 497-506. doi:10.1017/S1366728920000644

Buccola, B. & Chemla, E. (2021). Conceptual alternatives. Linguist and Philos . doi:10.1007/s10988-021-09327-w

Marty, P., Chemla, E. & Sprouse, J. (2020). The effect of three basic task features on the sensitivity of acceptability judgment tasks. Glossa: a journal of general linguistics, 5(1), 72. doi:10.5334/gjgl.980

Geffen, L., Chemla, E. & Steinert-Threlkeld, S. (2020). On the Spontaneous Emergence of Discrete and Compositional Signals. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 4794–4800. doi:10.18653/v1/2020.acl-main.433