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Implicit learning of artificial grammars
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The pseudolanguage instruction-learning task is a valid measure of human systematic generalization, differing from artificial grammar learning, statistical learning, and program learning in that explicit or implicit judgments of grammaticality are not needed.
“Our experimental paradigm asks participants to process instructions in a pseudolanguage in order to generate abstract outputs (meanings), differing from artificial grammar learning22, statistical learning23 and program learning24 in that explicit or implicit judgments of grammaticality are not needed.”
From Human-like systematic generalization through a meta-learning neural network (2023) · cites this paper as [22]
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Metadata
- Authors
- Reber, A. S.
- Affiliations
- Brown University (US)
- Corresponding author
- Reber, Arthur S.
- ORCID
- Reber, Arthur S.
- Venue
- Journal of Verbal Learning and Verbal Behavior
- Publisher
- Elsevier BV
- Published
- 1967-12
- Volume
- 6
- Issue
- 6
- Pages
- 855-863
- ISSN
- 0022-5371 (ISSN-L)
- OpenAlex
- W2081965739
- Cited by
- 2,026
- References
- 1
- Citations by year
- 2026: 54 · 2025: 93 · 2024: 77 · 2023: 55 · 2022: 82 · 2021: 65 · 2020: 74 · 2019: 96 · 2018: 95 · 2017: 76 · 2016: 61 · 2015: 82 · 2014: 82 · 2013: 76 · 2012: 102
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Verbal Learning and Verbal Behavior (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- implicit learning, artificial grammar, statistical learning, memorization, recognition memory, perceptual learning, differentiation, stimulus encoding
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