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Explore the mechanisms and patterns of language evolution through computational and theoretical approaches in this 73-minute lecture delivered at Johns Hopkins University's Center for Language & Speech Processing. Examine how linguistic changes can be predicted and modeled using quantitative methods, drawing from research in historical linguistics, computational modeling, and language acquisition. Investigate the factors that drive language change over time, including social, cognitive, and structural influences that shape how languages evolve. Learn about mathematical frameworks for understanding language variation and change, with particular attention to how these models can forecast future linguistic developments. Discover the intersection of theoretical linguistics and computational science in analyzing large-scale language data to identify patterns of change across different linguistic systems and communities.
