
La recherche sur la prononciation en français L2 : quand les enjeux sociaux s’invitent dans l’agenda scientifique
with live captions in English & livestreamed through YouTube
La recherche scientifique ne se développe jamais dans le vide : elle est traversée par des préoccupations sociales bien concrètes. À partir du cas du français, je montrerai comment ces enjeux peuvent façonner la manière dont nous pensons et étudions la prononciation en langue seconde.
Scientific research never develops in a vacuum: It is informed by concrete social concerns. Using the case of French, I will show how these issues can shape the way we think about and study second language pronunciation.
Suzie Beaulieu is a teacher educator and researcher at Université Laval (Québec City, Canada). Her research focuses on the acquisition of French as an additional language in adult populations, with a particular emphasis on the skills needed for successful integration into French-speaking communities of practice. Specifically, she investigates linguistic attitudes toward French Lx users, the development of oral skills among (low) literate adult learners, and the explicit teaching of Québec French sociolinguistic and pragmatic norms.

with live captions in French & livestreamed through YouTube
Both researchers and teachers want to know how to improve pronunciation efficiently and effectively, but the evidence is difficult to piece together. Part of the problem is how we go about doing research. In this talk, I use high variability phonetic training to illustrate how big-team speech science can provide more concrete and generalizable answers on pronunciation training, and I present a model for how to do it: Pronunciation Research Accelerator.
Les chercheurs et les enseignants veulent savoir comment améliorer la prononciation de manière efficace et efficiente, mais les preuves sont difficiles à rassembler. Une partie du problème réside dans la manière dont nous effectuons la recherche. J'utilise l'entraînement phonétique à haute variabilité pour illustrer comment la science de la parole en grande équipe peut fournir des réponses plus concrètes et généralisables sur l'entraînement à la prononciation, et je présente un modèle expliquant comment procéder : l'accélérateur de recherche sur la prononciation.
Charlie Nagle is a quantitative researcher working in the areas of language learning, speech perception and production, and listener-based evaluations of speech. He is especially interested in longitudinal research methodology and multivariate statistical techniques including multilevel modeling and structural equation modeling. He is currently researching crosslinguistic influence in perception and production and how training paradigms and procedures for second language speech learning can be optimized. He is also interested in individual differences in motivation, behavior, and learning, and the complex relationships that emerge among those constructs over time. His work has been published in venues such as Language Learning, Studies in Second Language Acquisition, and The Modern Language Journal, and his research has been supported by the Fulbright Program and the National Science Foundation. He also maintains a database and cross-tabulation of longitudinal second language pronunciation studies.
Presentation slides (Nagle, 2025, PSLLT 2025)