CLOct 21, 2024

Principles of semantic and functional efficiency in grammatical patterning

arXiv:2410.15865v2h-index: 4
Originality Incremental advance
AI Analysis

This addresses a foundational linguistic problem by providing a theoretical explanation for cross-linguistic grammatical patterns, which is incremental as it builds on existing observations.

The paper tackled the problem of explaining universal grammatical patterns by unifying semantic encoding and agreement-based predictability into a single information-theoretic objective under cognitive constraints, revealing that grammars prioritize functional efficiency over semantic encoding in language processing.

Grammatical features such as number and gender serve two central functions in human languages. While they encode salient semantic attributes like numerosity and animacy, they also offload sentence processing cost by predictably linking words together via grammatical agreement. Grammars exhibit consistent organizational patterns across diverse languages, invariably rooted in a semantic foundation-a widely confirmed but still theoretically unexplained phenomenon. To explain the basis of universal grammatical patterns, we unify two fundamental properties of grammar, semantic encoding and agreement-based predictability, into a single information-theoretic objective under cognitive constraints, accounting for variable communicative need. Our analyses reveal that grammatical organization provably inherits from perceptual attributes, and our measurements on a diverse language sample show that grammars prioritize functional goals, promoting efficient language processing over semantic encoding.

Foundations

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