| Title: |
Simulating Early Phonetic and Word Learning Without Linguistic Categories |
| Authors: |
Lavechin, Marvin; de Seyssel, Maureen; Titeux, Hadrien; Wisniewski, Guillaume; Bredin, Hervé; Cristia, Alejandrina; Dupoux, Emmanuel |
| Contributors: |
GIPSA - Cognitive Robotics, Interactive Systems, & Speech Processing (GIPSA-CRISSP); GIPSA Pôle Parole et Cognition (GIPSA-PPC); Grenoble Images Parole Signal Automatique (GIPSA-lab); Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP); Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab); Université Grenoble Alpes (UGA); École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL); Laboratoire de Linguistique Formelle (LLF - UMR7110); Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); Laboratoire de sciences cognitives et psycholinguistique (LSCP); Département d'Etudes Cognitives - ENS-PSL (DEC); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS); Université Paris Cité (UPCité); Équipe Structuration, Analyse et MOdélisation de documents Vidéo et Audio (IRIT-SAMoVA); Institut de recherche en informatique de Toulouse (IRIT); Université Toulouse Capitole (UT Capitole); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse - Jean Jaurès (UT2J); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université de Toulouse (EPE UT); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Toulouse Mind & Brain Institut (TMBI); Université Toulouse - Jean Jaurès (UT2J); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université de Toulouse (EPE UT); Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Université Toulouse Capitole (UT Capitole); Communauté d'universités et établissements de Toulouse (Comue de Toulouse); Centre National de la Recherche Scientifique (CNRS); Meta AI Research Paris; Meta AI; This work was supported by Agence Nationale de la Recherche (ANR-19-P3IA-0001 PRAIRIE 3IA Institute); J. S. Mc-Donnell Foundation (Understanding Human Cognition Scholar Award); European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ExELang, Grant agreement No. 101001095); Canadian Institute for Advanced Research; Grand Équipement National De Calcul Intensif; Agence de l'innovation de Défense; and MIAI @ Grenoble Alpes (ANR-19-P3IA-0003).; ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019); ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019); European Project: 101001095,ERC-2020-COG,ERC-2020-COG,ExELang(2021) |
| Source: |
ISSN: 1363-755X. |
| Publisher Information: |
CCSD; Wiley |
| Publication Year: |
2025 |
| Collection: |
Université Grenoble Alpes: HAL |
| Subject Terms: |
[SCCO]Cognitive science |
| Description: |
International audience ; 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 has shown that a distributional learning algorithm could reproduce perceptual changes in infants' early phonetic learning without acquiring phonetic categories. Taking this inquiry further, we propose that linguistic categories may not be needed for early word learning. We introduce STELA, a predictive coding algorithm designed to extract statistical patterns from continuous raw speech data. Our findings demonstrate that STELA can reproduce some developmental patterns of phonetic and word form learning without relying on linguistic categories such as phonemes or words nor requiring explicit word segmentation. Through an analysis of the learned representations, we show evidence that linguistic categories may emerge as an end product of learning rather than being prerequisites during early language acquisition. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/grantAgreement//101001095/EU/Experience Effects on early language acquisition/ExELang |
| DOI: |
10.1111/desc.13606 |
| Availability: |
https://hal.science/hal-04869271; https://doi.org/10.1111/desc.13606 |
| Accession Number: |
edsbas.BBF83B3F |
| Database: |
BASE |