Together, these six variables form a multi-dimensional interaction space, allowing language models to process language not merely as sequence and probability, but as dynamic semantic fields governed by structured, adaptive, and often non-linear rules. This framework offers the potential to bridge the gap between current LLM capabilities and human-like semantic interpretation.
The next section presents how this theoretical model can be formally represented, integrated into existing LLM pipelines, and evaluated empirically.
3.2 Interaction Level: From Atom to Emergent Semantics
In natural language understanding, the number of linguistic elements involved in a semantic construction---termed here as the Interaction Level (L)---has a significant impact on the type and depth of meaning that emerges. The CAS-6V framework posits that increasing the interaction level introduces higher complexity, richer cultural embedding, and greater interpretive flexibility.
We categorize interaction levels as follows:
A. Level 1 --- Single Word Interaction: Denotative Meaning
At Interaction Level 1, language units are processed in isolation. The resulting semantic output is typically denotative, relying on dictionary definitions or context-independent embeddings.
Example:
Tears "a drop of saline fluid from the eye"
Crocodile "a large reptile"
Eyes "organs of sight"
These interpretations are computationally straightforward and commonly used in tasks such as named entity recognition, part-of-speech tagging, and lexical classification. However, they lack the nuance required for contextual or figurative understanding.
Limitation:
LLMs operating at Level 1 cannot capture idiomatic, metaphorical, or aesthetic functions of language. They are confined to the lexical surface.
B. Level 2 --- Binary Word Interaction: Idiomatic and Connotative Meaning
