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Subject Syllabus

CSIT-702 (D) - Natural Language Processing

CSIT · Semester 7

Course Modules

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Levels of language analysis: syntax, semantics and pragmatics Applications Ambiguity Morphology Parsing with Finite State Transducers Regular expressions Stemmer Spelling errors

Speech sound Phonetic transcription Text to speech Pronunciation variations Bayesian method to spelling and pronunciations Minimum edit distance Weighted automata N-grams

HMM and speech recognition Viterbi algorithm Acoustic processing of speech Feature extraction Speech synthesis Part-of-speech tagging: rule based, stochastic and transformation based

Parsing with CFG CKY parsing and the Earley parser Probabilistic parsing Meaning representation First Order Predicate Calculus Lexical semantics: internal structure of words, thematic roles, primitive decomposition and WordNet

Word sense disambiguation Information retrieval: vector space model Improving user queries Pragmatic processing: discourse Natural language generation Machine translation