Sentence Processing in an Artificial Language: Learning and Using Combinatorial Constraints

Autor/inn/en	Amato, Michael S.; MacDonald, Maryellen C.
Titel	Sentence Processing in an Artificial Language: Learning and Using Combinatorial Constraints
Quelle	In: Cognition, 116 (2010) 1, S.143-148 (6 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0010-0277
DOI	10.1016/j.cognition.2010.04.001
Schlagwörter	Sentences; Artificial Languages; Cartoons; Language Processing; Probability; Language Acquisition; Models; Grammar; Theories + Suchen Sie Ihr Suchwort? Sentence analysis; Satzanalyse; Zeichentrickfilm; Sprachverarbeitung; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Sprachaneignung; Spracherwerb; Analogiemodell; Grammatik; Theory; Theorie
Abstract	A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders' sensitivity to nonadjacent combinatorial constraints, without explicit awareness of the probabilities embedded in the language. These results show that even newly-learned constraints have an identifiable effect on online sentence processing. The rapidity of learning in this paradigm relative to others has implications for theories of implicit learning and its role in language acquisition. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10