Explore the fundamental concepts of probabilities and language models in this comprehensive lecture by Jason Eisner from the Center for Language & Speech Processing at Johns Hopkins University. Delve into the intricate relationship between statistical methods and natural language processing, gaining insights into how probabilistic models are applied to understand and generate human language. Learn about key techniques and algorithms used in language modeling, and discover their practical applications in various NLP tasks. This 81-minute presentation offers a deep dive into the theoretical foundations and practical implications of probabilistic approaches in computational linguistics, providing valuable knowledge for researchers, students, and professionals in the field of natural language processing.