Two mechanisms in implicit artificial grammar learning? Comment on Meulemans and Van der Linden (1997)
Two mechanisms in implicit artificial grammar learning? Comment on Meulemans and Van der Linden (1997)
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DOI：
10.1037/0278-7393.25.2.524
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发表时间：
1999-03-01
影响因子：
2.6
通讯作者：
Shanks, DR
中科院分区：
文献类型：
--
作者：
Johnstone, T;Shanks, DR
T. Meulemans和M.货车德林登（1997）提出了两个不同的机制参与人工语法学习的证据。他们建议，在对32个字母串进行训练（实验2A）后，参与者使用字母组块分布统计知识对测试串进行分类，而在对125个字母串进行训练（实验2B）后，他们根据语法规则知识进行分类本文提供了Meulemans和Van der Linden的另一种统一解释，货车林登的发现。作者表明，在实验2B中使用的测试字符串中，语法规则和组块位置的信息是混淆的，然后提出证据表明，所有的数据都可以用分布知识来解释，只要这包括组块位置约束的知识。最后，作者质疑传统的有限状态文法调查抽象过程的效用，并提出替代方法。
T. Meulemans and M. Van der Linden (1997) presented evidence for 2 distinct mechanisms involved in artificial grammar learning. They suggested that after training on 32 letter strings (Experiment 2A), participants classify test strings using knowledge of the distributional statistics of letter chunks, whereas after training on 125 letter strings (Experiment 2B) they classify on the basis of knowledge of the rules of the grammar This article offers an alternative unitary account of Meulemans and Van der Linden's findings. The authors show that information about grammatical rules and chunk locations was confounded in the test strings used in Experiment 2B and then present evidence that all of the data can be explained in terms of distributional knowledge, provided this includes knowledge of the positional constraints on chunks. Finally, the authors question the utility of traditional finite-state grammars for investigating abstraction processes, and suggest alternative methods.