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Reframing statistical learning through natural language paradigms

Marshall, Chloë R. and Gullberg, Marianne LU orcid (2026) In Cognitive Science 50(5).
Abstract
Scholars propose some new directions for researching statistical learning (SL), including the need to adopt stimuli with greater ecological validity. The language sciences are moving in these directions. Studies investigating adult SL after short exposure to an unfamiliar (spoken or signed) language show that SL can occur from richer, continuous, multimodal input, suggesting that learners are able to track multiple statistics. This makes it more plausible that SL operates in naturalistic, interactive situations. This paradigm shift can potentially extend our understanding of the exact ways in which SL is deployed in the service of learning languages, thereby refining it theoretically and clarifying its place in cognitive science.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Second language acquisition, SLA, first exposure, naturalistic input, Statistical learning
in
Cognitive Science
volume
50
issue
5
publisher
Wiley-Blackwell
ISSN
0364-0213
DOI
10.1111/cogs.70225
project
Transdisciplinary Approaches to Learning, Acquisition, Multilingualism (TEAM)
Breaking into sign language: the role of input and individual differences
language
English
LU publication?
yes
id
82c8407c-c3fa-4190-a73d-0ba55a1e82ac
date added to LUP
2026-05-19 22:09:45
date last changed
2026-05-28 10:44:07
@article{82c8407c-c3fa-4190-a73d-0ba55a1e82ac,
  abstract     = {{Scholars propose some new directions for researching statistical learning (SL), including the need to adopt stimuli with greater ecological validity. The language sciences are moving in these directions. Studies investigating adult SL after short exposure to an unfamiliar (spoken or signed) language show that SL can occur from richer, continuous, multimodal input, suggesting that learners are able to track multiple statistics. This makes it more plausible that SL operates in naturalistic, interactive situations. This paradigm shift can potentially extend our understanding of the exact ways in which SL is deployed in the service of learning languages, thereby refining it theoretically and clarifying its place in cognitive science.}},
  author       = {{Marshall, Chloë R. and Gullberg, Marianne}},
  issn         = {{0364-0213}},
  keywords     = {{Second language acquisition; SLA; first exposure; naturalistic input; Statistical learning}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{5}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Cognitive Science}},
  title        = {{Reframing statistical learning through natural language paradigms}},
  url          = {{http://dx.doi.org/10.1111/cogs.70225}},
  doi          = {{10.1111/cogs.70225}},
  volume       = {{50}},
  year         = {{2026}},
}