Method to resolve the meaning of a body of natural language text using artificial intelligence analysis in combination with semantic and contextual analysis

Abstract

A method of language processing using a primary contextual and semantic analysis with reference to Rich dictionaries (created by combining dictionaries, thesauri, and language and jargon awareness databases) and with reference to connotation databases and contextual connotation databases to perform a full parsing of the text into parts of speech. If connotational or contextual ambiguities remain after this primary analysis is completed, a secondary artificial intelligence analysis module uses the primary analysis output as part of its input to modify some parameters and values within this artificial intelligence module. This module processes iteratively until any ambiguities are resolved. After primary and secondary analyses have taken place, a ranking matrix processor module processes all information acquired by the preceding modules to output a ranking matrix which encapsulates the meaning of the text in a form that may be readily used by machines or 3rd parties to react to the meaning of the text. Specialized Rich dictionaries can be created for use with this method to achieve specific goals, for cross-language translations, or to compare translations in different languages to detect inconsistencies.

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