TY  - BOOK
AU  - Bauernschmidt,Althea
AU  - Christiansen,Morten H.
AU  - Conway,Christopher M.
AU  - Dienes,Zoltan
AU  - Ellis,Nick C.
AU  - Gervain,Judit
AU  - Goldstein,Michael H.
AU  - Gonzales,Kalim
AU  - Gremp,Michelle A.
AU  - Gómez,Rebecca
AU  - Hamrick,Phillip
AU  - Hay,Jessica F.
AU  - Johnson,Elizabeth K.
AU  - Lany,Jill
AU  - Loui,Psyche
AU  - Mehler,Jacques
AU  - Misyak,Jennifer B.
AU  - Navarro,Daniel J.
AU  - Nespor,Marina
AU  - Onnis,Luca
AU  - O’Donnell,Matthew Brook
AU  - Perfors,Amy
AU  - Perruchet,Pierre
AU  - Pisoni,David B.
AU  - Poulin-Charronnat,Bénédicte
AU  - Rebuschat,Patrick
AU  - Sandoval,Michelle
AU  - Shukla,Mohinish
AU  - Smith,Kenny
AU  - Walk,Anne D.
AU  - Wiggins,Geraint A.
AU  - Williams,John
AU  - Williams,John N.
TI  - Statistical Learning and Language Acquisition
T2  - Studies in Second and Foreign Language Education [SSFLE] ,
SN  - 9781934078235
AV  - P118 .S72 2011
U1  - 401.930113404.2083 
PY  - 2012///]
CY  - Berlin, Boston : 
PB  - De Gruyter Mouton, 
KW  - Applied linguistics
KW  - Language acquisition
KW  - Linguistics
KW  - Statistical methods
KW  - Psycholinguistics
KW  - Angewandte Linguistik
KW  - Linguistik
KW  - Soziolinguistik
KW  - PSYCHOLOGY / Cognitive Psychology & Cognition
KW  - bisacsh
KW  - Applied Linguistics, Language Acquisition, Education
N1  - Frontmatter --; Preface --; List of contributors --; Table of contents --; Introduction: Statistical learning and language acquisition --; Statistical-sequential learning in development --; Bootstrapping language: Are infant statisticians up to the job? --; Sensitivity to statistical information begets learning in early language development --; Word segmentation: Trading the (new, but poor) concept of statistical computation for the (old, but richer) associative approach --; The road to word class acquisition is paved with distributional and sound cues --; Linguistic constraints on statistical learning in early language acquisition --; The potential contribution of statistical learning to second language acquisition --; Statistical learning and syntax: What can be learned, and what difference does meaning make? --; Statistical construction learning: Does a Zipfian problem space ensure robust language learning? --; Can we enhance domain-general learning abilities to improve language function? --; Conscious versus unconscious learning of structure --; How implicit is statistical learning? --; What Bayesian modelling can tell us about statistical learning: What it requires and why it works --; Evolutionary perspectives on statistical learning --; Statistical learning: What can music tell us? --; ‘‘I let the music speak’’: Cross-domain application of a cognitive model of musical learning --; Index; restricted access; Issued also in print
N2  - Open publication This volume brings together contributors from cognitive psychology, theoretical and applied linguistics, as well as computer science, in order to assess the progress made in statistical learning research and to determine future directions. An important objective is to critically examine the role of statistical learning in language acquisition. While most contributors agree that statistical learning plays a central role in language acquisition, they have differing views. This book will promote the development of the field by fostering discussion and collaborations across disciplinary boundaries
UR  - https://doi.org/10.1515/9781934078242
UR  - https://www.degruyter.com/isbn/9781934078242
UR  - https://www.degruyter.com/document/cover/isbn/9781934078242/original
ER  -