Library Catalog
Amazon cover image
Image from Amazon.com

Statistical Learning and Language Acquisition / ed. by John N. Williams, Patrick Rebuschat.

Contributor(s): Material type: TextTextSeries: Studies in Second and Foreign Language Education [SSFLE] ; 1Publisher: Berlin ; Boston : De Gruyter Mouton, [2012]Copyright date: ©2011Description: 1 online resource (511 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9781934078235
  • 9781934078242
Subject(s): DDC classification:
  • 401.930113 404.2083
LOC classification:
  • P118 .S72 2011
  • P118 .S73 2012
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
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
Summary: 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.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781934078242

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 online access with authorization star

http://purl.org/coar/access_right/c_16ec

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.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)