Introducing the fundamentals of statistical natural language processing ,neural approaches, concepts, and applications. Learning current transformer architectures. Enabling students to statistical natural language processing projects with Python.

The current technical approaches for linguistic problems, parsing, sentence meaning, word senses, semantic role labeling, coreference resolution, machine translation, chatbots.