CS2035 NATURAL LANGUAGE PROCESSING Syllabus - Anna University

CS2035                          NATURAL LANGUAGE PROCESSING                        L T  P C
3  0 0 3

UNIT I                                                                                                                                9
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                                                                                                                               9
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                                                                                                                              9
Context Free Grammars for English Syntax- Context-Free Rules and Trees - Sentence- Level ConstructionsAgreement Sub Categorization Parsing Top-down Earley Parsing -Feature Structures - Probabilistic Context-Free Grammars

UNIT IV                                                                                                                             9
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                                                                                                                              9
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.

1.  D. Jurafsky and J. Martin Speech and Language Processing: An Introduction to
Natural Language Processing, Computational Linguistics, and Speech Recognition,
2.  C Mannin an H Schutze Foundations  o Statistica Natura Language

1.  James Allen. “Natural Language Understanding, Addison Wesley, 1994.

By Vinoth
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