INST 736
Computational Linguistics II
Natural language processing with a focus on corpus-based statistical techniques. Topics include: stochastic language modeling, smoothing, noisy channel models, probabilistic grammars and parsing; lexical acquisition, similarity-based methods, word sense disambiguation, statistical methods in NLP applications; system evaluation.
Topics
- stochastic language modeling
- smoothing
- noisy channel models
- probabilistic grammars and parsing
- lexical acquisition
- similarity-based methods
- word sense disambiguation
- statistical methods in NLP applications
- system evaluation
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisite: LING723 , CMSC723 , or INST735 ; or permission of instructor. Cross-listed with CMSC773 , LING773 . Credit Only Granted for: CMSC773 , LING773 , or INST736 . Additional Information: CMSC students may only receive PhD Comp. credit for CMSC723 or CMSC823, not both.
Sources
- Course catalogue ↗2026-2027