Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE ( © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 11 December 2019

Abstract and Keywords

How well does statistical learning address the challenges of real-world language learning? This chapter presents progress in the domain of statistical learning since Saffran et al. (1996) conducted their seminal work. It highlights the extension of statistical learning to acquisition of natural language, and reviews investigations of how infants and adults segment words from speech, acquire word forms, and form abstract grammatical categories through tracking of transitional probabilities and non-adjacent dependencies. It also focuses on research demonstrating the influence of individual differences on statistical learning ability along with neuroimaging studies that reveal cognitive processes supporting statistical learning. The chapter ends by suggesting avenues of research that would further extend the application of statistical learning to natural language acquisition.

Keywords: statistical learning, transitional probability, non-adjacent dependency, grammatical category acquisition, individual differences, language acquisition

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.