Semantic Structure Document Similarity Search

The patent replaces the mechanical translation process with a direct semantic structure comparison approach. Instead of translating documents and then comparing them (which propagates translation errors), the system extracts semantic structures directly from source documents in their original languages and compares these structures. This substitution eliminates the translation step entirely while maintaining cross-language comparison capability, thereby avoiding translation error propagation.

The patent performs preliminary extraction and representation of semantic structures for all documents in advance, creating a standardized semantic representation format. This preliminary action transforms the complex task of accurate similarity comparison into a more efficient process, as the heavy syntactic and semantic analysis is done upfront during document indexing, while actual similarity queries can then proceed faster by comparing pre-computed semantic structures rather than performing analysis in real-time.

The patent adds another dimension to document representation by introducing semantic structure as a higher-level abstraction layer above lexical features. This dimensional change allows the system to operate simultaneously at multiple levels: lexical level for fast initial filtering and semantic structure level for precise meaning-based comparison. The semantic structure dimension captures nuanced differences in meaning, intent, and context that lexical features alone cannot detect, while maintaining processing efficiency through hierarchical organization.