Sparse Models of Lexical Variation

Explore sparse modeling approaches for understanding lexical variation in natural language through this 58-minute lecture by Jacob Eisenstein from Carnegie Mellon University, presented at the Center for Language & Speech Processing at Johns Hopkins University, examining how computational methods can capture and analyze the diverse ways words and language patterns vary across different contexts, communities, and linguistic environments.