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Dive into the fundamentals of language and sequence modeling in this comprehensive lecture from CMU's Advanced NLP course. Explore the language modeling problem definition, count-based language models, and methods for measuring language model performance including accuracy, likelihood, and perplexity. Delve into log-linear language models and gain insights into neural network basics. Conclude with an examination of feed-forward neural network language models. Enhance your understanding of advanced natural language processing concepts through this in-depth, 77-minute presentation by Graham Neubig, part of the CMU CS 11-711 Fall 2024 curriculum.
