de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

How “small” is “starting small” for learning hierarchical centre-embedded structures?

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons37966

Poletiek,  Fenna H.
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Department of Cognitive Psychology, Faculty of Social and Behavioural Sciences, Leiden University, NL;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)

Lai_Poletiek_JCP_2013.pdf
(Verlagsversion), 391KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Lai, J., & Poletiek, F. H. (2013). How “small” is “starting small” for learning hierarchical centre-embedded structures? Journal of Cognitive Psychology, 25, 423-435. doi:10.1080/20445911.2013.779247.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-78F0-0
Zusammenfassung
Hierarchical centre-embedded structures pose a large difficulty for language learners due to their complexity. A recent artificial grammar learning study (Lai & Poletiek, 2011) demonstrated a starting-small (SS) effect, i.e., staged-input and sufficient exposure to 0-level-of-embedding exemplars were the critical conditions in learning AnBn structures. The current study aims to test: (1) a more sophisticated type of SS (a gradually rather than discretely growing input), and (2) the frequency distribution of the input. The results indicate that SS optimally works under other conditional cues, such as a skewed frequency distribution with simple stimuli being more numerous than complex ones.