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ERIC Number: EJ911665
Record Type: Journal
Publication Date: 2011-Feb
Pages: 9
Abstractor: As Provided
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0010-0277
The Impact of Adjacent-Dependencies and Staged-Input on the Learnability of Center-Embedded Hierarchical Structures
Lai, Jun; Poletiek, Fenna H.
Cognition, v118 n2 p265-273 Feb 2011
A theoretical debate in artificial grammar learning (AGL) regards the learnability of hierarchical structures. Recent studies using an A[superscript n]B[superscript n] grammar draw conflicting conclusions ([Bahlmann and Friederici, 2006] and [De Vries et al., 2008]). We argue that 2 conditions crucially affect learning A[superscript n]B[superscript n] structures: sufficient exposure to zero-level-of-embedding (0-LoE) exemplars and a staged-input. In 2 AGL experiments, learning was observed only when the training set was staged and contained 0-LoE exemplars. Our results might help understanding how natural complex structures are learned from exemplars. (Contains 5 figures.)
Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A