Reverse engineering language acquisition with child-centered long-form recordings
| Autor: | Marvin Lavechin, Maureen de Seyssel, Alejandrina Cristia, Emmanuel Dupoux, Lucas Gautheron |
|---|---|
| Přispěvatelé: | Laboratoire de sciences cognitives et psycholinguistique (LSCP), Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), 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), Apprentissage machine et développement cognitif (CoML), 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)-Département d'Etudes Cognitives - ENS Paris (DEC), 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)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire de Linguistique Formelle (LLF - UMR7110), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Meta AI Research [Paris], Meta AI, AC gratefully acknowledges financial and institutional support from Agence Nationale de la Recherche (ANR-17-CE28-0007 LangAge, ANR-16-DATA-0004 ACLEW, ANR-14-CE30-0003 MechELex, ANR-17-EURE-0017), and the J. S. Mc-Donnell Foundation (Understanding Human Cognition Scholar Award). This work was also partly funded by l’Agence de l’Innovation de Défense, ANR-17-CE28-0007,LangAge,Différences dans l'apprenabilité du langage selon l'âge(2017), ANR-16-DATA-0004,ACLEW,Analyzing Child Language Experiences Around the World(2016), ANR-14-CE30-0003,MechELex,Méchanismes d'acquisition lexicale précoce(2014), ANR-17-EURE-0017,FrontCog,Frontières en cognition(2017) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Reverse engineering
LENA Ecological validity Linguistics and Language Child centered Long-form recordings business.industry Computer science Computational studies Wearable computer Linguistics Language acquisition computer.software_genre Social and Behavioral Sciences Language and Linguistics Software Human–computer interaction First and Second Language Acquisition [SHS.LANGUE]Humanities and Social Sciences/Linguistics Everyday life business computer |
| Zdroj: | Annual Review of Linguistics Annual Review of Linguistics, 2022, 8, pp.389-407. ⟨10.1146/annurev-linguistics-031120-122120⟩ |
| ISSN: | 2333-9691 |
| Popis: | International audience; 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 by children and children’s own language production, laying out the main advantages and drawbacks of long-form recordings. We then go on to argue that a unique advantage of long-form recordings is that they can fuel realistic models of early language acquisition that use speech to represent children's input and/or to establish production benchmarks. To enable the field to make the most of this unique empirical and conceptual contribution, we outline what this reverse engineering approach from long-form recordings entails, why it is useful, and how to evaluate success. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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