Maureen de Seyssel

Dados Biográficos

ID6917841
NOMEMaureen de Seyssel
PRENOMESMaureen
SOBRENOMEde Seyssel
ASSINATURADE SEYSSEL M
AFILIAÇÕESCentre National de la Recherche Scientifique
ORCID0000-0003-2345-5676
VERIFICADOSim
TOTAL DE OBRAS9
TOTAL DE CITAÇÕES2
OBRAS COMO AUTOR9
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H1

  • Simulating Early Phonetic and Word Learning Without Linguistic Categories

    Open AccessMarvin Lavechin, Maureen de Seyssel et al.ARTICLEDevelopmental Science2025

    Before they even talk, infants become sensitive to the speech sounds of their native language and recognize the auditory form of an increasing number of words. Traditionally, these early perceptual changes are attributed to an emerging knowledge of linguistic categories such as phonemes or words. However, there is growing skepticism surrounding this interpretation due to limited evidence of category knowledge in infants. Previous modeling work ha…

  • Modeling early phonetic acquisition from child-centered audio data

    Open AccessMarvin Lavechin, Maureen de Seyssel et al.ARTICLECognition2024

  • Modeling early phonetic acquisition from child-centered audio data

    Marvin Lavechin, Maureen de Seyssel et al.PREPRINT2023

    Infants learn their native language(s) at an amazing speed. Before they even talk, their perception adapts to the language(s) they hear. However, the mechanisms responsible for this perceptual attunement and the circumstances in which it takes place remain unclear. This paper presents the first attempt to study perceptual attunement using ecological child-centered audio data. We show that a simple prediction algorithm exhibits perceptual attuneme…

  • Realistic and broad-scope learning simulations

    Open AccessMaureen de Seyssel, Marvin Lavechin et al.ARTICLEJournal of Child Language2023

    There is a current 'theory crisis' in language acquisition research, resulting from fragmentation both at the level of the approaches and the linguistic level studied. We identify a need for integrative approaches that go beyond these limitations, and propose to analyse the strengths and weaknesses of current theoretical approaches of language acquisition. In particular, we advocate that language learning simulations, if they integrate realistic …

  • The limits of statistical learning in word segmentation

    Ansgar D Endre, Maureen de SeysselPREPRINT2022

    Learning statistical regularities from the environment is ubiquitous across do- mains and species. It might support the earliest stages of language acquisi- tion, especially identifying and learning words from fluent speech (i.e., word- segmentation). But how do the statistical learning mechanisms involved in word-segmentation interact with the memory mechanisms needed to actually remember words as well as with the learning situations where words…

  • Statistical learning models of early phonetic acquisition struggle with child-centered audio data

    Marvin Lavechin, Maureen de Seyssel et al.PREPRINT2022

    Infants learn their native language(s) at an amazing speed. Before they even talk, their perception adapts to the language(s) they hear. However, the mechanisms responsible for this perceptual attunement still remain unclear. A long tradition in linguistics points to the importance of specialized language mechanisms that would allow us to quickly and effortlessly learn from the language(s) we are exposed to. However, the currently dominant explan…

  • Can statistical learning bootstrap early language acquisition? A modeling investigation

    Marvin Lavechin, Maureen de Seyssel et al.PREPRINT2022

    Before they even produce their first word, infants start developing a language-specific perception, recognize the auditory form of frequent words, and develop a rudimentary knowledge of grammatical categories. A major question in language development is: what mechanisms are responsible for the effortless learning infants demonstrate? In-laboratory experiments have shown that young infants are exquisitely sensitive to fine-grained statistical regu…

  • Reverse engineering language acquisition with child-centered long-form recordings

    Marvin Lavechin, Maureen de Seyssel et al.PREPRINT2021

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings - that is, audio (including speech) over whole days. The hardware and software underlying this technique is increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received …

  • Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings

    Marvin Lavechin, Maureen de Seyssel et al.ARTICLEAnnual Review of Linguistics2021Citada por: 2Referências: 3

    Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings—that is, audio (including speech) over whole days. The hardware and software underlying this technique are increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received b…