Elaboration of a vector based semantic classification over the words and notions of the natural language

The problem of vector-based semantic classification over the words and notions of the natural language is discussed. A set of generative grammar rules for the generation of the semantic classification vector is offered. The examples of the classification application are given. A theorem of optional formal classification incompleteness is presented. The principles of assigning of the meaning-bearing functions over the classification word groups are analyzed.