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

Lai, Jun; Poletiek, Fenna H.

doi:10.1080/20445911.2013.779247

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

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

MPS-Authors

/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;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

Lai_Poletiek_JCP_2013.pdf
(出版社版), 391KB

付随資料 (公開)

There is no public supplementary material available

引用

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.

引用: https://hdl.handle.net/11858/00-001M-0000-0013-78F0-0

要旨

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.