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Demonstrates improved disambiguation accuracy using character clusters in language analysis, suggesting a novel approach for semantic understanding.
Sci - Phonesthemic Field Vectors: Character Clusters as Semantic Carriers Armstrong Knight — intent-tensor-theory.com Character clusters carry semantic field information that individual characters do not possess: gr- maps to rough/heavy/threatening across 6452 languages, gl- maps to light/vision/shiny, sn- maps to nose/nasal. This is a bond-level property analogous to molecular chemistry. A PHONESTHEME_FIELDS dictionary maps onset clusters to semantic field vectors. Incorporating phonesthemic information improves Layer 7 disambiguation accuracy from 53% to 67%. Running implementation: intent-tensor-theory.com/applied-itt
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Armstrong Knight (2026) studied this question.
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