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The development of nonadjacent dependency learning in natural and artificial languages
Author(s) -
Sandoval Michelle,
Gómez Rebecca L.
Publication year - 2013
Publication title -
wiley interdisciplinary reviews: cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.526
H-Index - 49
eISSN - 1939-5086
pISSN - 1939-5078
DOI - 10.1002/wcs.1244
Subject(s) - dependency (uml) , statistical learning , perception , computer science , linguistics , psychology , language acquisition , natural (archaeology) , cognitive psychology , artificial intelligence , natural language processing , cognitive science , mathematics education , geography , philosophy , neuroscience , archaeology
Nonadjacent dependencies occur over one or more intervening units and require learners to track discontinuous sequential relationships. These discontinuous relationships are present at multiple levels in language (e.g., as seen in morphosyntactic dependencies and at the phonological level in vowel harmony). Experiments suggest that these dependencies are acquired using statistical learning mechanisms and that this learning is also affected by perceptual biases. Artificial and natural language studies have shown that infants are sensitive to these statistical regularities but there appear to be developmental constraints on learning. Developmental investigations have also examined how knowledge and processing of the intervening elements affect learning, and whether categories can be acquired using nonadjacent dependency information. WIREs Cogn Sci 2013, 4:511–522. doi: 10.1002/wcs.1244 This article is categorized under: Linguistics > Language Acquisition Psychology > Language Psychology > Learning