Natural Language Processing

Catalog description

Prerequisite: CMSC 325 Corequisite: None Description: Includes concepts needed for language processing, from the foundational building blocks of text — tokenization, language models, and word embeddings — through the neural architectures that power modern AI, including feedforward networks, Transformers, and Large Language Models. Explores how these tools are applied in real-world systems such as information retrieval, retrieval-augmented generation, and machine translation.