Notes on natural language processing

Notes on natural language processing, NLP theories explained, NLP stages explained, List of NLP applications, natural language processing solved exercises, examples on handling nlp problems, NLP glossary, tutorials on natural language processing

Notes on Natural Language Processing Concepts

• What are the challenges in resolving ambiguities in NLP?

• Minimum Edit Distance 

• Minimum Edit Distance with Alignment using Backtrace 

• Morphology
  

• Context Free Grammar (CFG) Formal Definition

• Probabilistic Context Free Grammar (PCFG)

• Bayes' Theorem

• Language model in NLP 

• Bigram, Trigram, Ngram statistical language models 

• Bigram model probability calculation - Example 

• Perplexity -  Evaluation of language model

• Hidden Markov Model (HMM) Formal Definition

• Three fundamental problems of HMM 

• Part Of Speech (POS) tagging with HMM

• Natural Language Processing (NLP) - Glossary (key terms and their definitions)

Solved Exercises

• Minimum Edit Distance - Exercise 

• Minimum Edit Distance using Levenshtein distance - Exercise

• Naive Bayes Classifier - Exercise

• Naive Bayes Classifier using smoothing - Exercise 2

• Context Free Grammar - Exercise   

• Probabilistic CFG (PCFG) - Production rule probability estimation - Exercise

• POS tagging with Hidden Markov Model - Exercise 1

• POS tagging with HMM (Evaluation problem) - Exercise 2

• POS tagging with HMM (Likelihood estimate) - Exercise 3

• HMM exercise - general - Exercise 4

• Maximum Likelihood Estimate to calculate transition and emission probabilities from a corpus - Exercise 

Multiple Choice Questions (MCQ), Quizzes, TRUE/FALSE Questions

• Go to NLP - MCQ Quiz Home page
   

• NLP True/False Questions - Home

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Notes and solved important quiz questions on natural language processing

Solved exercises in natural language processing

Applications of natural language processing

Stages of NLP

Handling of NLP applications

NLP terms and definitions

Tutorials on Natural Language Processing

Questions and answers in natural language processing