Query Meaning Interpretation Using Grammatical Knowledge Curation

The patent segments text processing into distinct grammatical components (functional words, nouns, adjectives, verbs, adverbs) and processes each type separately using specialized techniques. This segmentation allows the system to handle ambiguities in each category independently, improving reliability without overwhelming the system with monolithic complexity.

The patent introduces grammatical classification as an intermediary layer between raw text and meaning interpretation. By first classifying words into grammatical types and analyzing their distribution patterns, the system creates a structured intermediate representation that facilitates more reliable text interpretation while managing complexity through modular processing stages.

The patent segments sentence analysis into two distinct phases: grammatical structure analysis (using distribution patterns and grammatical rules) and semantic meaning identification (using pattern matching and contextual analysis). This segmentation allows the system to achieve grammatical precision in one phase while preserving semantic information in another, preventing the loss of meaning that would occur if only grammatical analysis were performed.

The patent implements a multi-functional text processing system that performs both grammatical analysis and semantic interpretation through different techniques. The same text input is processed simultaneously through grammatical classification for structure validation and pattern recognition for meaning extraction, allowing the system to achieve both grammatical correctness and semantic accuracy without sacrificing either.