This invention describes a method for computers to understand specialized language, such as instructions found in forms. It works by breaking down sentences, identifying known and new words, and then linking these words to specific computer actions. The system then creates a structured understanding that software can directly use, particularly focusing on filtering tokens based on types like descriptions or amounts.
Why it matters: Filed just before the widespread adoption of highly capable Large Language Models. These modern AI systems could significantly enhance the token identification, mapping, and predicate structure generation described in the claims, potentially simplifying the development for new domain-specific languages.
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