This invention describes a computer program designed to understand human language by breaking down sentences into structured statements. It works by first identifying key ideas and their grammatical roles from a specialized dictionary, then using a two-step process to map these into 'subject performs action on object' formats. The claims specifically narrow the invention to using a dictionary that assigns numbers to concepts.
Why it matters: Filed before the rise of large language models, this invention's core goal of structured language understanding is now more achievable. Modern AI can automate much of the rule-based parsing and ontology creation that was manual in 2000, making the underlying concept easier to implement and scale.
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