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 Natural Language Processing (NLP). Topics include tagging and classification, parsing models, meaning representation, and information extraction. (Not intended for students with a background in programming or computer science.) Carries MCS divisional studies credit in CAS. Effective Fall 2018, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Research and Information Literacy.

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