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The Revised Speech Learning Model (SLM-r)
Abstract
Here we present the revised Speech Learning Model (SLM-r), an individual differences model that aims to account for how phonetic systems reorganize over the life-span in response to the phonetic input received during naturalistic second language (L2) learning. We first review research leading to the formulation of the Speech Learning Model, or SLM, before presenting a synthesis of that model and then its revision. The SLM-r proposes that the mechanisms and processes needed for native language (L1) acquisition remain accessible for use in L2 learning, without change or exception, across the life-span. By hypothesis, the formation or nonformation of new phonetic categories for L2 sounds will depend on the precision of L1 categories at the time L2 learning begins, the perceived phonetic dissimilarity of an L2 sound from the closest L1 sound, and the quantity and quality of L2 input that has been received. According to the SLM-r, the phonetic categories making up the L1 and L2 phonetic subsystems interact with one another dynamically and are updated whenever the statistical properties of the input distributions defining L1, L2, and composite L1-L2 categories (diaphones) change.
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“On its face, this result appears to challenge perception-first accounts of L2 speech development, particularly models in which perceptual category formation is expected to underpin subsequent production (Best & Tyler, 2007;Flege & Bohn, 2021).”
From On English Language Learners’ Prosody: The Possible Impact of L2 Aptitude, Musical Ability, and Proficiency on Nuclear Accent Placement in Spanish L1 Contexts (2026) · cites this paper as Flege & Bohn, 2021
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Barra–García, C. F., Véliz-Campos, M., Figueroa Candia, M. A., Pereira-Reyes, Y., & Kartsevski Dune, M. (2026) · Language Teaching Research Quarterly · doi:10.32038/ltrq.2026.55.04
Metadata
- Authors
- Flege, J. E., & Bohn, O.-S.
- Venue
- Second Language Speech Learning
- Publisher
- Cambridge University Press
- Published
- 2021-02-04
- Pages
- 3-83
- Cited by
- 429
- References
- 7
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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