DSC 252Statistical Natural Language Processing
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
From the catalog: “none. Restricted to DS75 and DS76 students.”