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CMSC 773

Computational Linguistics II

3 Credits

Natural language processing with a focus on corpus-based statistical techniques. Topics inlcude: 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.

Prerequisites & course information

Prerequisite: CMSC723 , INST735 , or LING723 ; or permission of instructor. Cross-listed with LING773 , INST736 . Credit Only Granted for: CMSC773 , LING773 , or INST736 . Additional Information: CMSC students may only receive PhD Comp. credit for CMSC723 or CMSC823, not both.

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