Verb Variability and Morphosyntactic Priming With Typically Developing 2- and 3-Year-Olds.
Verb Variability and Morphosyntactic Priming With Typically Developing 2- and 3-Year-Olds.
复制标题
通常发育中的 2 岁和 3 岁儿童的动词变异性和形态句法启动。
DOI:
10.1044/2018_jslhr-l-17-0410
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Leonard,LaurenceB
中科院分区:
文献类型:
--
作者:
Krok,WindiC;Leonard,LaurenceB
PurposeThis study was specifically designed to examine how verb variability and verb overlap in a morphosyntactic priming task affect typically developing children's use and generalization of auxiliaryIS.MethodForty typically developing 2- to 3-year-old native English-speaking children with inconsistent auxiliaryISproduction were primed with 24 present progressive auxiliaryISsentences. Half of the children heard auxiliaryISprimes with 24 unique verbs (high variability). The other half heard auxiliaryISprimes with only 6 verbs, repeated 4 times each (low variability). In addition, half of the children heard prime–target pairs with overlapping verbs (lexical boost), whereas the other half heard prime–target pairs with nonoverlapping verbs (no lexical boost). To assess use and generalization of the targeted structure to untrained verbs, all children described probe items at baseline and 5 min and 24 hr after the priming task.ResultsChildren in the high variability group demonstrated strong priming effects during the task and increased auxiliaryISproduction compared with baseline performance 5 min and 24 hr after the priming task, suggesting learning and generalization of the primed structure. Children in the low variability group showed no significant increases in auxiliaryISproduction and fell significantly below the high variability group in the 24-hr posttest. Verb overlap did not boost priming effects during the priming task or in posttest probes.ConclusionsTypically developing children do indeed make use of lexical variability in their linguistic input to help them extract and generalize abstract grammatical rules. They can do this quite quickly, with relatively stable, robust learning occurring after a single optimally variable input session. With reduced variability, learning does not occur.
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