All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language

Autor/inn/en	Romberg, Alexa R.; Saffran, Jenny R.
Titel	All Together Now: Concurrent Learning of Multiple Structures in an Artificial Language
Quelle	In: Cognitive Science, 37 (2013) 7, S.1290-1320 (31 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0364-0213
DOI	10.1111/cogs.12050
Schlagwörter	Artificial Languages; Second Language Learning; Adults; Adult Learning; Accuracy; Structural Analysis (Linguistics) + Suchen Sie Ihr Suchwort? Zweitsprachenerwerb; Adulte education; Adult training; Erwachsenenbildung; Structural analysis; Strukturanalyse
Abstract	Natural languages contain many layers of sequential structure, from the distribution of phonemes within words to the distribution of phrases within utterances. However, most research modeling language acquisition using artificial languages has focused on only one type of distributional structure at a time. In two experiments, we investigated adult learning of an artificial language that contains dependencies between both adjacent and non-adjacent words. We found that learners rapidly acquired both types of regularities and that the strength of the adjacent statistics influenced learning of both adjacent and non-adjacent dependencies. Additionally, though accuracy was similar for both types of structure, participants' knowledge of the deterministic non-adjacent dependencies was more explicit than their knowledge of the probabilistic adjacent dependencies. The results are discussed in the context of current theories of statistical learning and language acquisition. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10