Department of Psychology, The University of Arizona, Tucson.
Department of Speech, Language, and Hearing Sciences, The University of Arizona, Tucson.
J Speech Lang Hear Res. 2021 Mar 17;64(3):922-934. doi: 10.1044/2020_JSLHR-20-00548. Epub 2021 Feb 16.
Purpose The experiment reported here compared two hypotheses for the poor statistical and artificial grammar learning often seen in children and adults with developmental language disorder (DLD; also known as specific language impairment). The states that implicit learning of rule-based input is impaired, whereas the states that poor performance is only seen when learners must implicitly compute sequential dependencies. The current experiment tested learning of an artificial grammar that could be learned via feature activation, as observed in an associatively organized lexicon, without computing sequential dependencies and should therefore be learnable on the sequential pattern learning deficit hypothesis, but not on the procedural learning deficit hypothesis. Method Adults with DLD and adults with typical language development (TD) listened to consonant-vowel-consonant-vowel familiarization words from one of two artificial phonological grammars: Family Resemblance (two out of three features) and a control (exclusive OR, in which both consonants are voiced OR both consonants are voiceless) grammar in which no learning was predicted for either group. At test, all participants rated 32 test words as to whether or not they conformed to the pattern in the familiarization words. Results Adults with DLD and adults with TD showed equal and robust learning of the Family Resemblance grammar, accepting significantly more conforming than nonconforming test items. Both groups who were familiarized with the Family Resemblance grammar also outperformed those who were familiarized with the OR grammar, which, as predicted, was learned by neither group. Conclusion Although adults and children with DLD often underperform, compared to their peers with TD, on statistical and artificial grammar learning tasks, poor performance appears to be tied to the implicit computation of sequential dependencies, as predicted by the sequential pattern learning deficit hypothesis.
目的 本实验比较了两种关于发育性语言障碍(DLD;也称为特定语言障碍)儿童和成人在统计和人工语法学习中表现不佳的假设。假设 1 认为基于规则的输入的内隐学习受损,而假设 2 认为只有在学习者必须内隐计算序列依赖性时才会出现较差的表现。本实验测试了一种人工语法的学习,这种语法可以通过特征激活来学习,就像在联想组织的词汇中观察到的那样,而无需计算序列依赖性,因此应该可以根据序列模式学习缺陷假设来学习,但不能根据程序性学习缺陷假设来学习。
方法 DLD 成人和语言发育正常(TD)成人听取了来自两个人工语音语法之一的辅音-元音-辅音-元音熟悉词:Family Resemblance(三个特征中的两个)和一个控制(排他或,其中两个辅音都是浊音或两个辅音都是清音)语法,对于这两个组都没有预测到学习。在测试中,所有参与者都对 32 个测试词进行了判断,以确定它们是否符合熟悉词中的模式。
结果 DLD 成人和 TD 成人对 Family Resemblance 语法表现出同等且强大的学习能力,接受的符合测试项目明显多于不符合测试项目。熟悉 Family Resemblance 语法的两组也优于熟悉 OR 语法的两组,这与预测的一样,两组都没有学习到 OR 语法。
结论 尽管与语言发育正常的同龄人相比,DLD 成人和儿童在统计和人工语法学习任务中表现往往较差,但较差的表现似乎与序列依赖性的内隐计算有关,这与序列模式学习缺陷假设一致。