Tabor Whitney, Hutchins Sean
Department of Psychology, University of Connecticut, Storrs, CT 06269, USA.
J Exp Psychol Learn Mem Cogn. 2004 Mar;30(2):431-50. doi: 10.1037/0278-7393.30.2.431.
Dynamical, self-organizing models of sentence processing predict "digging-in" effects: The more committed the parser becomes to a wrong syntactic choice, the harder it is to reanalyze. Experiment 1 replicates previous grammaticality judgment studies (F. Ferreira & J. M. Henderson, 1991b, 1993), revealing a deleterious effect of lengthening the ambiguous region of a garden-path sentence. The authors interpret this result as a digging-in effect. Experiment 2 finds a corresponding effect on reading times. Experiment 3 finds that making 2 wrong attachments is worse than making 1. Non-self-organizing models require multiple stipulations to predict both kinds of effects. The authors show that, under an appropriately formulated self-organizing account, both results stem from self-reinforcement of node and link activations, a feature that is needed independently. An implemented model is given.
句子处理的动态自组织模型预测了“深入”效应:句法分析器对错误句法选择的投入程度越高,重新分析就越困难。实验1重复了之前的语法判断研究(F. 费雷拉和J. M. 亨德森,1991b,1993),揭示了延长花园小径句歧义区域的有害影响。作者将这一结果解释为深入效应。实验2发现了对阅读时间的相应影响。实验3发现进行两次错误依存比进行一次错误依存更糟糕。非自组织模型需要多个规定来预测这两种效应。作者表明,在适当构建的自组织框架下,这两种结果都源于节点和链接激活的自我强化,这是一个独立需要的特征。给出了一个实现的模型。