Linguistics Computation, Automatic Model Generation, and Intensions
Techniques are presented for defining models of computational linguistics theories. The methods of generalized diagrams that were developed by this author for modeling artificial intelligence planning and reasoning are shown to be applicable to models of computation of linguistics theories. It is shown that for extensional and intensional interpretations, models can be generated automatically which assign meaning to computations of linguistics theories for natural languages. Keywords: Computational Linguistics, Reasoning Models, G-diagrams For Models, Dynamic Model Implementation, Linguistics and Logics For Artificial Intelligence
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