Cross-Linguistic Semantic Analysis
Semantics
Cross-linguistic
NLP
Overview
Investigating how semantic representations vary across languages using large-scale corpus analysis and computational models. This project aims to understand the universal and language-specific aspects of meaning.
Lead Researcher: Dr. Maria Chen
Timeline: 2022-2025
Funding: NIH Grant #R01HD105346
Key Components
- Multilingual semantic space modeling
- Cross-linguistic metaphor analysis
- Semantic change detection across languages
Methods
- Distributional semantic models
- Neural network embeddings
- Cross-lingual alignment techniques