This invention describes a computer system that checks written text against a set of rules or a standard. It works by first creating a structured understanding (like a template) of the rules, and then doing the same for the text being checked. The system then compares these two structured forms to decide if the text meets the standard, specifically using natural language processing for this understanding.
Why it matters: Filed before modern natural language processing and large language models made semantic and syntactic analysis highly effective. The core method of comparing structured text against a standard is now far more achievable and robust with current AI capabilities.
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