AI Model Explains How Language Evolves Through Structure

Researchers at Wits University used artificial intelligence to model early child development and language evolution ^[1]. The study utilized deep linear networks to demonstrate that language gains structure over generations ^[1][2]. This evolution occurs because more organized systems are significantly easier for new learners to acquire ^[2].

The findings suggest that linguistic patterns are not random but are optimized for cognitive efficiency ^[1]. This discovery has broad implications for human linguistics and the development of future AI models ^[1][2]. It provides a bridge between biological learning processes and computational linguistics ^[2].