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Impaired statistical learning of non-adjacent dependencies in adolescents with specific language impairment

机译:具有特定语言障碍的青少年中非相邻依赖项的统计学习受损

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Being able to track dependencies between syntactic elements separated by other constituents is crucial for language acquisition and processing (e.g., in subject-noun/verb agreement). Although long assumed to require language-specific machinery, research on statistical learning has suggested that domain-general mechanisms may support the acquisition of non-adjacent dependencies. In this study, we investigated whether individuals with specific language impairment (SLI)—who have problems with long-distance dependencies in language—also have problems with statistical learning of non-adjacent relations. The results confirmed this hypothesis, indicating that statistical learning may subserve the acquisition and processing of long-distance dependencies in natural language.
机译:能够跟踪由其他成分分隔的句法元素之间的依存关系对于语言获取和处理(例如,在主语-名词/动词一致中)至关重要。尽管长期以来一直假定需要特定语言的机制,但有关统计学习的研究表明,领域通用机制可能支持获取非相邻依赖关系。在这项研究中,我们调查了具有特定语言障碍(SLI)的个人(他们在语言上具有长距离依赖性方面的问题)是否也对非相邻关系的统计学习存在问题。结果证实了这一假设,表明统计学习可能有助于自然语言中长距离依赖的获取和处理。

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