CAS LX 496
Computational Linguistics
Undergraduate Prerequisites: (CASLX250) and CASCS112 or CASLX394); or consent of instructor. - Introduction to computational techniques to explore linguistic models and test empirical claims. Serves as an introduction to concepts, algorithms, data structures, and tool libraries. Topics include tagging and classification, parsing models, meaning representation, corpus creation, information extraction. Effective Spring 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Research and Information Literacy.
Topics
- tagging and classification
- parsing models
- meaning representation
- corpus creation
- information extraction
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027