Introduction: Words – Morphology and Finite State transducers - Computational
Phonology and Pronunciation Modelling - Probabilistic models of pronunciation and spelling – Ngram Models of syntax - Hidden markov models and Speech recognition
- Word classes and Part of Speech Tagging.
Context free Grammars for English – Parsing with Context free Grammar – Features
and unification - Lexicalized and Probabilistic Parsing -Language and Complexity.
Semantics: Representing meaning - Semantic analysis - Lexical semantics - Word
sense disambiguation and Information retrieval.
Pragmatics: Discourse - Dialog and Conversational agents - Natural language
generation, Statistical alignment and Machine translation: Text alignment – word
alignment – statistical machine translation.