Natural Language Processing
Introduce fundamental concepts, techniques, and algorithms for the computational handling of natural language. Statistical and machine learning techniques, models, and algorithms that enable computers to deal with the ambiguity and implicit structure of human language. Approaches that focus on uncovering linguistic structure, such as syntactic or semantic parsing, as well as those that focus on manipulating text in useful ways, such as question answering or machine translation.
Prerequisites & course information
Cross-listed with: CMSC723 , INST735 . Credit Only Granted for: CMSC723 , LING723 , or INST735 . Additional Information: Students must have prior coursework similar to the content offered in undergraduate course CMSC422 . CMSC students may only receive PhD Comp. credit for CMSC723 or CMSC823, not both.
Sources
- Course catalogue ↗2026-2027