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Towards a Neuro-Cognitive Model of Human Sentence Processing

机译:建立人类句子加工的神经认知模型

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摘要

A formal sentence processing system is proposed which simulates different event-related potential (ERP) elicitation between sentences with and without unambiguous case marking. The electroencephalographical data are based on German subordinate clauses and Japanese sentences. As a formal framework we adopt Dynamic Syntax (Kempson et al. 2001), which enables incremental update of information by underspecifying tree information. This is augmented with default syntactic and semantic specifications which reflect shallow but efficient human sentence processing.
机译:提出了一种正式的句子处理系统,该系统可以模拟带有和不带有清晰案例标记的句子之间不同的事件相关电位(ERP)激发。脑电图数据基于德语从句和日语句子。作为正式的框架,我们采用动态语法(Kempson等,2001),该技术通过未指定树信息来实现信息的增量更新。默认的句法和语义规范对此进行了补充,它反映了浅而有效的人类句子处理。

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