LEAD Université de Bourgogne CNRS Vous êtes ici : Accueil › Publications › Familiar units prevail over statistical cues in word segmentation Familiar units prevail over statistical cues in word segmentation Catégorie Journal Article Auteurs Poulin-Charronnat, B., Perruchet, P., Tillmann, B., Peereman, R. Année 2017 Titre Familiar units prevail over statistical cues in word segmentation Journal / Livre / Conférence Psychological Research Résumé In language acquisition research, the prevailing position is that listeners exploit statistical cues, in particular transitional probabilities between syllables, to discover words of a language. However, other cues are also involved in word discovery. Assessing the weight learners give to these different cues leads to a better understanding of the processes underlying speech segmentation. The present study evaluated whether adult learners preferentially used known units or statistical cues for segmenting continuous speech. Before the exposure phase, participants were familiarized with part-words of a three-word artificial language. This design allowed the dissociation of the influence of statistical cues and familiar units, with statistical cues favoring word segmentation and familiar units favoring (nonoptimal) part-word segmentation. In Experiment 1, performance in a two-alternative forced choice (2AFC) task between words and part-words revealed partword segmentation (even though part-words were less cohesive in terms of transitional probabilities and less frequent than words). By contrast, an unfamiliarized group exhibited word segmentation, as usually observed in standard conditions. Experiment 2 used a syllable-detection task to remove the likely contamination of performance by memory and strategy effects in the 2AFC task. Overall, the results suggest that familiar units overrode statistical cues, ultimately questioning the need for computation mechanisms of transitional probabilities (TPs) in natural language speech segmentation. Issue 81 Volume 5 Pages 990-1003 Téléchargement Télécharger cette publication au format PDF ‹ Retour à la page précédente Accueil Présentation Membres Recherche Publications Projets financés Plateforme technologique MAREY Formation Actualités & Agenda Vie du laboratoire Press book Expérimentations en ligne Open Source Intranet Contact Plan d'accès Plan du site English Université de Bourgogne - LEAD - CNRS UMR 5022 Pôle AAFE - 11 Esplanade Erasme - 21000 DIJON Mise à jour : 28/02/2018 | LEAD © 2010-2021 | Mentions légales Imprimer | Connexion