Applied artificial intelligence technology for adaptive natural language understanding with term discovery

This system helps a computer understand human language by analyzing a collection of text. It counts how many different sentences each word appears in, then identifies words that seem particularly unique. A human user can then review these unique words and add them to a specialized dictionary, which in turn helps the computer generate its own language.

Why it matters: Filed before large language models became dominant for natural language understanding and generation. The claimed method's reliance on simple term reference counts and manual ontology updates is now largely superseded by the advanced capabilities of modern AI, making its core learning mechanism less competitive.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, natural language processing expertise

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