Research2h ago
Research
Languages Viewed As Designed Latent Spaces
A new theoretical framework proposes that human languages function as latent spaces designed for efficient information compression. This perspective treats linguistic evolution as an optimization process for data transmission. Researchers argue this mapping helps explain how LLMs internalize semantic structures. Practitioners can use these insights to improve tokenization and cross-lingual embedding alignment.