A Model of Syntactic Parsing Based on Domain-General Cognitive Mechanisms
نویسنده
چکیده
The relationship between linguistic and nonlinguistic cognition is an important area of study including the questions of language modularity and learnability. We believe that insights to this relationship can be obtained by implementing a precise computational model of sentence understanding within a general cognitive architecture. In this paper we have represented a wide-coverage grammar (Head-driven Phrase Structure Grammar) using non-linguistic representation. We have shown how grammar-specific representations like specifier, complement, modifier and gap map to domain-general event representations such as subgoals and temporal constraints. The paper thus demonstrates that domain-general cognitive mechanisms are sufficient and adequate for syntactic parsing.
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تاریخ انتشار 2006