STATISTICAL NATURAL LANGUAGE PROCESSING

Catalog description

Explores computational methods to study human languages. Emphasizes statistical models of language (finite-state models, n-gram language models, noisy-channel models, Hidden Markov Models, Context Free Grammars), decoding algorithms (Viterbi, Forward-Backward, CKY), and machine learning methods (maximum likelihood and expectation-maximization).