| 摘要 |
A combinatorial system for extracting major meaning components of a phrase or sentence text in natural language and vice versa. This system allows more intelligent processing and retrieval of textual information in computers. More specifically, the system is divided into three parts. The first is based on a specially defined set of universal primary or atomic abstract concepts, Semantic Factors and rules and methods for assembling and modifying the Semantic Factors. The second is based on a specially defined set of morpheme-type linguistic elements of a specific language, referred to herein as S-Morphs, that are formed into a dictionary. The third part relies upon algorithms and rules for using the two parts described above to translate text into its conceptual description or meanings and/or point from a meaning to relevant objects.
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