This course focuses on computer applications that involve the processing of written or spoken human languages. The exact content may vary from year to year. The course is divided into three parts. Topics from conventional, statistical natural language processing will likely include text normalization, N-grams, part-of-speech tagging, information retrieval, and text categorization. Topics from conventional computational linguistics will likely include grammars, parsing, and semantic representations. Topics from deep learning and NLP will likely include word embeddings, feed-forward neural networks, recurrent neural networks, sequence-to-sequence models, attention, and transformers. Course work will include programming projects and quizzes.