Explore modern natural language processing using machine learning and deep learning approaches. Examine linguistics fundamentals (syntax, semantics, distributional properties of language), machine learning models (classifiers, sequence taggers, deep neural networks), key algorithms for inference, and a range of applications. Build systems to do tasks including sentiment classification, text generation, and more. Three lecture hours a week for one semester. Computer Science 371N and 378 (Topic: Natural Language Processing) may not both be counted. Prerequisite: Computer Science 331 or 331H with a grade of at least a C-.