Natural Language Processing

Catalog description

This course is an introduction to the theory and methodology of natural language understanding and generation. Topics covered are large language models, tokenization, stop word removal, stemming, lemmatization, parts of speech tagging, syntax, semantics, discourse, and their applications in various natural language processing (NLP) tasks. Students utilize specialized libraries to develop applications for these NLP tasks.