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 Fibonaccilike 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. Keywords: natural language, mathematical modeling, cognitive modeling ACM Classification Keywords: I.2 Artificial Intelligence, 1.2.0. Cognitive simulation,1.2.7. Natural language processing - Speech recognition and synthesis.

Link:

EXPERIMENTAL SUPPORT OF ARGUMENT-BASED SYNTACTIC COMPUTATION

Velina Slavova, Alona Soschen

http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p15.pdf