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Explore the theoretical foundations of language generation through this 55-minute conference talk that examines computational approaches to producing natural language at scale. Delve into the mathematical and algorithmic principles underlying modern language generation systems, investigating how computational models can approach human-like language production capabilities. Analyze the theoretical limits and boundaries of automated language generation, considering both the possibilities and constraints inherent in computational linguistic systems. Examine cutting-edge research methodologies and theoretical frameworks that inform our understanding of how machines can generate coherent, contextually appropriate text. Investigate the intersection of computer science, linguistics, and cognitive science in developing systems capable of producing meaningful language output, while considering the fundamental questions about what it means for a computational system to truly "understand" and generate language.
