DSC 252. Statistical Natural Language Processing (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/DSC.html#dsc252
Description
Diving deep to the classical NLP pipeline: tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, parsing, and machine translation. Finite-state transducer, context-free grammar, hidden Markov models (HMM), and conditional random fields (CRF) will be covered in detail. Prerequisites: none. Restricted to DS75 and DS76 students.
Prerequisite courses
DSC 252 has no prerequisite courses.
Successor courses
No courses have DSC 252 as a prerequisite.