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Statistical learning and language acquisition [electronic resource] / edited by Patrick Rebuschat, John N. Williams.

By: Contributor(s): Material type: TextTextSeries: Studies in second and foreign language education ; 1.Publication details: Boston : De Gruyter Mouton, c2012.Description: 1 online resource (xii, 511 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781934078242
  • 1934078247
  • 1283858444
  • 9781283858441
Uniform titles:
  • ProQuest Ebook Central.
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 401.93 23
LOC classification:
  • P118 .S73 2012
Other classification:
  • ER 925
Online resources: Available additional physical forms:
  • Electronic version is available via Ebrary.
Contents:
Preface; List of contributors; 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 acquisitionStatistical 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: This volume brings together contributors from cognitive psychology, theoretical and applied linguistics, as well as computer science, in order to assess the progress and future directions of statistical learning research. The textcritically examines the role of statistical learning in language acquisition. Contributors agree that statistical learning plays a central role in language acquisition, but each offerdiffering perspectives. The book promotes the development of the field by fostering discussion and collaborations across disciplinary boundaries.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Description based on print version record.

Includes bibliographical references and index.

Preface; List of contributors; 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 acquisitionStatistical 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.

Electronic version is restricted to subscribing institutions.

This volume brings together contributors from cognitive psychology, theoretical and applied linguistics, as well as computer science, in order to assess the progress and future directions of statistical learning research. The textcritically examines the role of statistical learning in language acquisition. Contributors agree that statistical learning plays a central role in language acquisition, but each offerdiffering perspectives. The book promotes the development of the field by fostering discussion and collaborations across disciplinary boundaries.

Electronic version is available via Ebrary.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

English.

Print version record.

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