CS2035 NATURAL LANGUAGE PROCESSING SYLLABUS

UNIT I
Introduction–Models-and Algorithms-The Turing Test- Regular Expressions Basic Regular Expression Patterns-Finite State Automata-Regular Languages and FSAs–Morphology-Inflectional Morphology-Derivational Morphology-Finite-State Morphological Parsing-Combining an FST Lexicon and Rules-Porter Stemmer
UNIT II
N-grams Models of Syntax-Counting Words-Unsmoothed N-grams–Smoothing-Backoff-Deleted Interpolation–Entropy-English Word Classes-Tagsets for English-Part of Speech Tagging-Rule-Based Part of Speech Tagging-Stochastic Part of Speech Tagging-Transformation-Based Tagging
UNIT III
Context Free Grammars for English Syntax-Context-Free Rules and Trees-Sentence-Level Constructions–Agreement–Sub Categorization–Parsing–Top-down–Earley Parsing-Feature Structures-Probabilistic Context-Free Grammars
UNIT IV
Representing Meaning-Meaning Structure of Language-First Order Predicate Calculus-Representing Linguistically Relevant Concepts-Syntax-Driven Semantic Analysis-Semantic Attachments-Syntax-Driven Analyzer-Robust Analysis-Lexemes and Their Senses-Internal Structure-Word Sense Disambiguation-Information Retrieval
UNIT V
Discourse-Reference Resolution-Text Coherence-Discourse Structure-Dialog and Conversational Agents-Dialog Acts–Interpretation–Coherence-Conversational Agents-Language Generation–Architecture-Surface Realizations-Discourse Planning–Machine Translation-Transfer Metaphor–Interlingua –Statistical Approaches.
CS2035 Natural Language Processing Syllabus

CS2035 NATURAL LANGUAGE PROCESSING SYLLABUS-PDF

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