关于人工语法学习迁移效应的一项实验研究

A Study on the Transfer Effect in Artificial Grammer Learning

本研究探讨了人工语法迁移效应产生的机制,着重考查了组块信息迁移理论对人工语法迁移效应机制解释的适宜性。 结果发现:当学习和测验序列的表层结构不同时,被试能够学习和迁移非重复成分间的序列依存性(实验一);当被试将非重复 成分间的序列依存性迁移到表层结构不同的测验序列中时,需要在学习和测验序列的分布特征上形成一种匹配(实验二)。

Two experiments were presented to test the suitability of the chunks information transfer theory in explaining the transfer effect in artificial grammar learning. The results indicated: When the surface structures of learning and test sequences were different, the subjects could learn and transfer sequential dependencies between non-repeating elements (Experiment 1), but the transfer of dependencies of non-repeating elements was indeed subject to a match between the distributional properties of learning sequences and grammatical sequences (Experiment 2).