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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
The present paper explores the role of sonority and other perceptual constraints in governing syllable structure constraints. One… 
2015
2015
An important aspect of consciousness is the ability to reflect upon one’s own thoughts, an insight that can be traced back to… 
Review
2014
Review
2014
Recent artificial-grammar learning (AGL) paradigms driven by the Chomsky hierarchy paved the way for direct comparisons between… 
2010
2010
We present two methods by which people could learn (e.g., artificial grammars): learning by a single updating model that has the… 
2007
2007
The question of what processes are involved in artificial grammar learning has been the subject of a great deal of debate for… 
2002
2002
The purpose of this study was to investigate the validity of an explicit generation task in order to assess the explicit… 
2002
2002
One important function of syntactic analysis of speech is the assignment of thematic roles to noun phrases. Thematic roles of… 
Review
2001
Review
2001
People have an impressive capacity for storing information about particular events. This "episodic" memory allows us to recall… 
1998
1998
Artificial grammar learning (AGL; Reber, 1989) has been a major experimental paradigm for the study of human induction processes…