Results 11 to 20 of about 131,744 (288)
Disentangling sequential from hierarchical learning in Artificial Grammar Learning: Evidence from a modified Simon Task. [PDF]
PLoS ONE, 2020 In this paper we probe the interaction between sequential and hierarchical learning by investigating implicit learning in a group of school-aged children.
Maria Vender +5 more
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Structural selection in implicit learning of artificial grammars [PDF]
Psychological Research Psychologische Forschung, 2010 In the contextual cueing paradigm, Endo and Takeda (in Percept Psychophys 66:293–302, 2004) provided evidence that implicit learning involves selection of the aspect of a structure that is most useful to one’s task.
Poletiek, F., Van den Bos, E.
core +7 more sources
Artificial Grammar Learning Capabilities in an Abstract Visual Task Match Requirements for Linguistic Syntax [PDF]
Frontiers in Psychology, 2018 Whether pattern-parsing mechanisms are specific to language or apply across multiple cognitive domains remains unresolved. Formal language theory provides a mathematical framework for classifying pattern-generating rule sets (or “grammars”) according to ...
Gesche Westphal-Fitch +7 more
doaj +2 more sources
Artificial grammar learning meets formal language theory: an overview. [PDF]
Philos Trans R Soc Lond B Biol Sci, 2012 Formal language theory (FLT), part of the broader mathematical theory of computation, provides a systematic terminology and set of conventions for describing rules and the structures they generate, along with a rich body of discoveries and theorems concerning generative rule systems.
Fitch WT, Friederici AD.
europepmc +5 more sources
Are Human Learners Capable of Learning Arbitrary Language Structures
Brain Sciences, 2023 The artificial grammar learning paradigm is a classic method of investigating the influence of universal constraints on shaping learning biases on language acquisition.
Yu-Leng Lin
doaj +1 more source
Implicit learning of two artificial grammars [PDF]
Cognitive Processing, 2020 This study investigated the implicit learning of two artificial systems. Two finite-state grammars were implemented with the same tone set (leading to short melodies) and played by the same timbre in exposure and test phases. The grammars were presented in separate exposure phases, and potentially acquired knowledge was tested with two experimental ...
C. Guillemin, B. Tillmann
openaire +3 more sources
Artificial grammar learning in pigeons [PDF]
Learning & Behavior, 2008 In two experiments, we developed a new methodology for studying complex stimulus control by spatial sequences of letters generated by artificial grammars. An artificial grammar is a system of rules that defines which letter sequences or strings are "grammatical." In Experiment 1, pigeons learned to respond differently to strings conforming to a grammar
Walter T, Herbranson, Charles P, Shimp
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Effects of grammar complexity on artificial grammar learning [PDF]
Memory & Cognition, 2008 The present study identified two aspects of complexity that have been manipulated in the implicit learning literature and investigated how they affect implicit and explicit learning of artificial grammars. Ten finite state grammars were used to vary complexity.
Van den Bos, E., Poletiek, F.
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Syntactic transfer in artificial grammar learning [PDF]
Psychonomic Bulletin & Review, 2010 In an artificial grammar learning (AGL) experiment, participants were trained with instances of one grammatical structure before completing a test phase in which they were required to discriminate grammatical from randomly created strings. Importantly, the underlying structure used to generate test strings was different from that used to generate the ...
Beesley, T. +2 more
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Frontiers in Psychology, 2022 Individual variability of cognitive factors in second language (L2) grammar learning has long been the focus in the field of L2 acquisition. Most explored the issue by focusing on one factor like cognitive control, working memory, statistical learning ...
Yao Chen +5 more
doaj +1 more source