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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, Velina
Soschen, Alona
Keywords: Natural Language
Mathematical Modeling
Cognitive 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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