Principles of semantic and functional efficiency in grammatical patterning
Cheng, Emily, Franzon, Francesca
–arXiv.org Artificial Intelligence
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. Our analyses reveal that grammatical organization provably inherits from perceptual attributes, but that grammars empirically prioritize functional goals, promoting efficient language processing over semantic encoding.
arXiv.org Artificial Intelligence
Oct-21-2024
- Country:
- Africa > South Africa (0.04)
- North America
- United States
- New York (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Canada > Ontario
- Toronto (0.04)
- United States
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Switzerland > Zürich
- Zürich (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- Germany > Saxony
- Leipzig (0.04)
- France
- Île-de-France > Paris
- Paris (0.04)
- Provence-Alpes-Côte d'Azur > Bouches-du-Rhône
- Marseille (0.04)
- Île-de-France > Paris
- United Kingdom > England
- Genre:
- Research Report > New Finding (0.46)
- Technology: