Prediction and error-based learning in L2 processing and acquisition: a conceptual review

Giulia Bovolenta; Emma Marsden

doi:10.1017/S0272263121000723

Prediction and error-based learning in L2 processing and acquisition: a conceptual review

Giulia Bovolenta, Emma Marsden

Education

Research output: Contribution to journal › Article › peer-review

Abstract

There is currently much interest in the role of prediction in language processing, both in L1 and L2. For language acquisition researchers, this has prompted debate on the role that predictive processing may play in both L1 and L2 language learning, if any. In this conceptual review, we explore the role of prediction and prediction error as a potential learning aid. We examine different proposed prediction mechanisms and the empirical evidence for them, alongside the factors constraining prediction for both L1 and L2 speakers. We then review the evidence on the role of prediction in learning languages. We report computational modelling which underpins a number of proposals on the role of prediction in L1 and L2 learning, then lay out the empirical evidence supporting the predictions made by modelling, from research into priming and adaptation. Finally, we point out the limitations of these mechanisms in both L1 and L2 speakers.

Original language	English
Pages (from-to)	1384-1409
Number of pages	26
Journal	Studies in Second Language Acquisition
Volume	44
Issue number	5
Early online date	9 Nov 2021
DOIs	https://doi.org/10.1017/S0272263121000723
Publication status	Published - 1 Dec 2022

Bibliographical note

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10.1017/S0272263121000723Licence: CC BY-NC-SA

Bovolenta & Marsden_SSLA_Prediction in L2 acquisition_accepted versionAccepted author manuscript, 357 KBLicence: Unspecified
prediction-and-error-based-learning-in-l2-processing-and-acquisition-a-conceptual-review
© The Author(s), 2021.
Final published version, 455 KBLicence: CC BY-NC-SA

Cite this

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