📘 AM603PC

Natural Language Processing

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NLP Handbook Second Edition Chapman & Hall CRC

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NLP Unit 1: Finding the Structure of Words and Documents

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NLP Unit 1 (Part 2): Finding the Structure of Words and Documents

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NLP Unit 2: Syntax I

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NLP Imp QnA Unit 1,2,3

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NLP Unit 3

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NLP Unit 4

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NLP Unit 5

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Syllabus Overview

UNIT - 1: Finding the Structure of Words and Documents

Finding the Structure of Words

  • Words and Their Components
  • Issues and Challenges
  • Morphological Models

Finding the Structure of Documents

  • Introduction
  • Methods
  • Complexity of the Approaches
  • Performances of the Approaches
  • Features

UNIT - 2: Syntax I

Syntax I

  • Parsing Natural Language
  • Treebanks: A Data-Driven Approach to Syntax
  • Representation of Syntactic Structure
  • Parsing Algorithms

UNIT - 3: Syntax II and Semantic Parsing I

Syntax II

  • Models for Ambiguity Resolution in Parsing
  • Multilingual Issues

Semantic Parsing I

  • Introduction
  • Semantic Interpretation
  • System Paradigms
  • Word Sense

UNIT - 4: Semantic Parsing II

Semantic Parsing II

  • Predicate-Argument Structure
  • Meaning Representation Systems

UNIT - 5: Language Modeling

Language Modeling

  • Introduction
  • N-Gram Models
  • Language Model Evaluation
  • Bayesian parameter estimation
  • Language Model Adaptation
  • Language Models - class based, variable length, Bayesian topic based
  • Multilingual and Cross Lingual Language Modeling
Natural Language Processing Notes