Comprehending Text : Achieving Coherence through a Connectionist Architecture

نویسنده

  • Samuel W. K. Chan
چکیده

Comprehension is determined by the content of memory. The verbalized concepts reflect the information that is in the focus of attention. Mental models of text must be formed in order to achieve coherence in language understanding. Constructing a mental model requires continual interaction between the text and the reader's linguistic, pragmatic, and world knowledge. In this article, a connectionist framework is proposed for the formation of mental models that occurs during comprehension. A unification and spreading activation model are used to simulate the processes. The system is tested using children's stories. Results attest the validity of the model. Thus, our design contributes to the formation of a durable and functional mental representation of the text information.

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تاریخ انتشار 1995