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Explore the intersection of context-sensitivity and stochastic unification-based grammars in this comprehensive lecture from the Center for Language & Speech Processing at Johns Hopkins University. Delve into advanced computational linguistics concepts as Mark Johnson examines how context-sensitive features can be incorporated into probabilistic grammatical frameworks that utilize unification operations. Learn about the theoretical foundations and practical applications of these sophisticated parsing approaches, understanding how they address complex linguistic phenomena that require both structural and probabilistic modeling. Gain insights into the mathematical underpinnings of stochastic grammars while exploring how unification-based systems can capture context-dependent linguistic relationships, making this essential viewing for researchers and advanced students in computational linguistics, natural language processing, and formal grammar theory.
