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The Declarative/Procedural Model of Lexicon and Grammar
Abstract
Our use of language depends upon two capacities: a mental lexicon of memorized words and a mental grammar of rules that underlie the sequential and hierarchical composition of lexical forms into predictably structured larger words, phrases, and sentences. The declarative/procedural model posits that the lexicon/grammar distinction in language is tied to the distinction between two well-studied brain memory systems. On this view, the memorization and use of at least simple words (those with noncompositional, that is, arbitrary form-meaning pairings) depends upon an associative memory of distributed representations that is subserved by temporal-lobe circuits previously implicated in the learning and use of fact and event knowledge. This "declarative memory" system appears to be specialized for learning arbitrarily related information (i.e., for associative binding). In contrast, the acquisition and use of grammatical rules that underlie symbol manipulation is subserved by frontal/basal-ganglia circuits previously implicated in the implicit (nonconscious) learning and expression of motor and cognitive "skills" and "habits" (e.g., from simple motor acts to skilled game playing). This "procedural" system may be specialized for computing sequences. This novel view of lexicon and grammar offers an alternative to the two main competing theoretical frameworks. It shares the perspective of traditional dual-mechanism theories in positing that the mental lexicon and a symbol-manipulating…
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Vocabulary learning depends on declarative memory, strengthened through explicit instruction and repeated exposure.
“Ullman's (2001) model of second language acquisition suggests vocabulary learning depends on declarative memory, strengthened through explicit instruction and repeated exposure.”
From Integrating ChatGPT for vocabulary learning and retention: A classroom-based study of Saudi EFL learners (2025) · cites this paper as Ullman's (2001)
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Self-citation
Metadata
- Authors
- Ullman, M. T.
- Affiliations
- Georgetown University (US)
- Corresponding author
- Ullman, Michael T.
- ORCID
- Ullman, Michael T.
- Venue
- Journal of Psycholinguistic Research
- Published
- 2001-01
- Volume
- 30
- Issue
- 1
- Pages
- 37-69
- ISSN
- 0090-6905 (ISSN-L)
- 1573-6555
- OpenAlex
- W1498096105
- Cited by
- 508
- References
- 122
- Citations by year
- 2026: 16 · 2025: 10 · 2024: 18 · 2023: 16 · 2022: 37 · 2021: 24 · 2020: 20 · 2019: 32 · 2018: 22 · 2017: 20 · 2016: 25 · 2015: 32 · 2014: 25 · 2013: 40 · 2012: 30
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Psycholinguistic Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health (MH-58189, R01MH058189)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Keywords
- procedural memory, mental lexicon, mental grammar, associative memory, temporal lobe, frontal cortex, basal ganglia, morphological complexity, morphological productivity, double dissociation, implicit learning, symbolic computation, language acquisition, computational models of language, grammar learning
- MeSH terms
- Aphasia, Brain, Brain Diseases, Electroencephalography, Frontal Lobe, Humans, Linguistics, Magnetic Resonance Imaging, Memory, Psycholinguistics, Semantics, Tomography, Emission-Computed, Vocabulary, Magnetoencephalography
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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