Introduction to computational techniques to explore linguistic models and test empirical claims. Serves as an introduction to programming, algorithms, and data structures, focused on modern applications to NLP. Topics include tagging and classification, parsing models, meaning representation, and information extraction. Carries MCS divisional studies credit in CAS. This course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Research and Information Literacy.