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Artificial grammar learning
Known as:
AGL
, Artifical Grammar Learning
Artificial grammar learning (AGL) is a paradigm of study within cognitive psychology and linguistics. Its goal is to investigate the processes that…
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Related topics
Related topics
6 relations
Adaptive grammar
Artificial intelligence
Chomsky hierarchy
Grammar induction
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Broader (1)
Computational linguistics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Perceptually Based Constraints and Metathesis: Evidence from Artificial Grammar
Sara Finley
2017
Corpus ID: 65028451
The present paper explores the role of sonority and other perceptual constraints in governing syllable structure constraints. One…
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2015
2015
Chapter 6 Inferences about consciousness using subjective reports of confidence
Maxine T. Sherman
,
A. Barrett
,
R. Kanai
2015
Corpus ID: 49227215
An important aspect of consciousness is the ability to reflect upon one’s own thoughts, an insight that can be traced back to…
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Review
2014
Review
2014
The Non-Hierarchical Nature of the Chomsky Hierarchy-Driven Artificial-Grammar Learning
S. Ojima
,
K. Okanoya
Biolinguistics
2014
Corpus ID: 55178502
Recent artificial-grammar learning (AGL) paradigms driven by the Chomsky hierarchy paved the way for direct comparisons between…
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2010
2010
The Metacognitive Role of Familiarity in Artificial Grammar Learning: Transitions from Unconscious to Conscious Knowledge
R. Scott
,
Z. Dienes
2010
Corpus ID: 44224352
We present two methods by which people could learn (e.g., artificial grammars): learning by a single updating model that has the…
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2007
2007
The subjective experience of remembering in artificial grammar learning
R. Tunney
2007
Corpus ID: 56367336
The question of what processes are involved in artificial grammar learning has been the subject of a great deal of debate for…
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2002
2002
Explicit knowledge in artificial grammar learning
T. Meulemans
2002
Corpus ID: 151412784
The purpose of this study was to investigate the validity of an explicit generation task in order to assess the explicit…
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2002
2002
Modularity and artificial grammar learning
Shanks
,
T. Johnstone
,
A. Kinder
2002
Corpus ID: 63044196
2002
2002
A Model of Learning Syntactic Comprehension for Natural and Artificial Grammars
Peter Ford Dominey
2002
Corpus ID: 117131597
One important function of syntactic analysis of speech is the assignment of thematic roles to noun phrases. Thematic roles of…
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Review
2001
Review
2001
1 Modularity and Artificial Grammar Learning
D. Shanks
,
T. Johnstone
,
A. Kinder
,
Shanks
2001
Corpus ID: 2202671
People have an impressive capacity for storing information about particular events. This "episodic" memory allows us to recall…
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1998
1998
Generality of the abstraction mechanisms in artificial grammar learning
E. Pothos
,
N. Chater
1998
Corpus ID: 61455013
Artificial grammar learning (AGL; Reber, 1989) has been a major experimental paradigm for the study of human induction processes…
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