| Course Name | Natural Language Processing |
| Course Code | 15CSE358 |
| Program | B. Tech. in Computer Science and Engineering |
| Year Taught | 2019 |
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.
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