Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1038

 Title: Experimental Support of Argument-based Syntactic Computation Authors: Slavova, VelinaSoschen, Alona Keywords: Natural LanguageMathematical ModelingCognitive Modeling Issue Date: 2008 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: Linguistic theory, cognitive, information, and mathematical modeling are all useful while we attempt to achieve a better understanding of the Language Faculty (LF). This cross-disciplinary approach will eventually lead to the identification of the key principles applicable in the systems of Natural Language Processing. The present work concentrates on the syntax-semantics interface. We start from recursive definitions and application of optimization principles, and gradually develop a formal model of syntactic operations. The result – a Fibonacci- like syntactic tree – is in fact an argument-based variant of the natural language syntax. This representation (argument-centered model, ACM) is derived by a recursive calculus that generates a mode which connects arguments and expresses relations between them. The reiterative operation assigns primary role to entities as the key components of syntactic structure. We provide experimental evidence in support of the argument-based model. We also show that mental computation of syntax is influenced by the inter-conceptual relations between the images of entities in a semantic space. URI: http://hdl.handle.net/10525/1038 ISSN: 1313-0455 Appears in Collections: Book 2 Advanced Research in Artificial Intelligence

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