This HTML5 document contains 55 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n19http://dbpedia.org/resource/Wikt:
dctermshttp://purl.org/dc/terms/
dbohttp://dbpedia.org/ontology/
n20http://dbpedia.org/resource/File:
foafhttp://xmlns.com/foaf/0.1/
dbpedia-huhttp://hu.dbpedia.org/resource/
n18https://global.dbpedia.org/id/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
freebasehttp://rdf.freebase.com/ns/
n11http://commons.wikimedia.org/wiki/Special:FilePath/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbchttp://dbpedia.org/resource/Category:
dbphttp://dbpedia.org/property/
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
wikidatahttp://www.wikidata.org/entity/
goldhttp://purl.org/linguistics/gold/
dbrhttp://dbpedia.org/resource/

Statements

Subject Item
dbr:Artificial_grammar_learning
rdf:type
dbo:ProgrammingLanguage
rdfs:label
Artificial grammar learning
rdfs:comment
Artificial grammar learning (AGL) is a paradigm of study within cognitive psychology and linguistics. Its goal is to investigate the processes that underlie human language learning by testing subjects' ability to learn a made-up grammar in a laboratory setting. It was developed to evaluate the processes of human language learning but has also been utilized to study implicit learning in a more general sense. The area of interest is typically the subjects' ability to detect patterns and statistical regularities during a training phase and then use their new knowledge of those patterns in a testing phase. The testing phase can either use the symbols or sounds used in the training phase or transfer the patterns to another set of symbols or sounds as surface structure.
foaf:depiction
n11:Artificial_grammar_learning_example.jpg
dcterms:subject
dbc:Grammar dbc:Language_acquisition dbc:Computational_linguistics
dbo:wikiPageID
6352447
dbo:wikiPageRevisionID
1100596682
dbo:wikiPageWikiLink
dbr:Agrammatism dbr:Grammar dbr:George_Armitage_Miller dbr:Bayesian_model dbr:FMRI dbr:Linguistics dbc:Grammar dbr:Syntax dbr:Adaptive_grammar dbr:Broca's_area dbr:Pragmatics dbr:Transfer_of_learning dbc:Computational_linguistics dbr:Implicit_learning dbr:Language_learning dbr:Encoding_(memory) dbr:Cognitive_psychology dbr:Statistical_learning_in_language_acquisition dbr:Amnesia dbr:Semantics dbr:Cottontop_tamarin dbr:Chomsky_hierarchy dbr:Artificial_intelligence dbr:Recall_(memory) n19:exemplar dbr:Grammatical_induction dbc:Language_acquisition n20:Artificial_grammar_learning_example.jpg dbr:Language_learning_aptitude dbr:Implicit_cognition dbr:Starlings dbr:Bayesian_learning
owl:sameAs
wikidata:Q1176230 dbpedia-hu:Mesterségesnyelvtan-elsajátítás freebase:m.0g26tw n18:E1ij
dbp:wikiPageUsesTemplate
dbt:Page_numbers_needed dbt:Multiple_issues dbt:Primary_sources dbt:Specific
dbo:thumbnail
n11:Artificial_grammar_learning_example.jpg?width=300
dbo:abstract
Artificial grammar learning (AGL) is a paradigm of study within cognitive psychology and linguistics. Its goal is to investigate the processes that underlie human language learning by testing subjects' ability to learn a made-up grammar in a laboratory setting. It was developed to evaluate the processes of human language learning but has also been utilized to study implicit learning in a more general sense. The area of interest is typically the subjects' ability to detect patterns and statistical regularities during a training phase and then use their new knowledge of those patterns in a testing phase. The testing phase can either use the symbols or sounds used in the training phase or transfer the patterns to another set of symbols or sounds as surface structure. Many researchers propose that the rules of the artificial grammar are learned on an implicit level since the rules of the grammar are never explicitly presented to the participants. The paradigm has also recently been utilized for other areas of research such as language learning aptitude, structural priming and to investigate which brain structures are involved in syntax acquisition and implicit learning. Apart from humans, the paradigm has also been used to investigate pattern learning in other species, e.g. cottontop tamarins and starlings.
gold:hypernym
dbr:Paradigm
prov:wasDerivedFrom
wikipedia-en:Artificial_grammar_learning?oldid=1100596682&ns=0
dbo:wikiPageLength
30211
foaf:isPrimaryTopicOf
wikipedia-en:Artificial_grammar_learning