Machine Learning Reveals Universal Patterns Governing Language Evolution Across 22 Languages

Researchers from Fudan, Harvard, and Stony Brook University discovered that all 22 analyzed languages share universal mathematical patterns governing vocabulary evolution. Using machine learning and natural language processing, they demonstrated that language change follows predictable rules rather than occurring randomly, offering profound insights into how human societies and cultures transform over time.