Natural Language Toolkit(NLTK), an open source library which simplifies the implementation of Natural Language Processing(NLP) in Python is introduced. It is useful for getting started with NLP and also for research/teaching.

1. NLTK Natural Language Processing made easy Elvis Joel D’Souza Gopikrishnan Nambiar Ashutosh Pandey

5. Why Python?

12. Control Statements

13. Decision Control - If num = 3

14. Loop Control - While number = 10

15. Loop Control - For

17. Functions - Example

19. Import import math The import keyword is used to tell Python, that we need the ‘math’ module. This statement makes all the functions in this module accessible in the program.

20. Using Modules – An Example print math. sqrt( 100 ) sqrt is a function math is a module math.sqrt(100) returns 10 This is being printed to the standard output

21. Natural Language Processing (NLP)

27. POS Tagging – An Example The ball is red NOUN VERB ADJECTIVE ARTICLE

29. Parsing– An Example The boy went home NOUN VERB NOUN ARTICLE NP VP The boy went home

34. NLTK Natural Language Toolkit

35. Design Goals

41. Cumulative Frequency Plot for 50 Most Frequently Words in Moby Dick

42. POS tagging

43. WordNet Lemmatizer

45. Authorship Attribution An Example

46. Find nltk @ <python-installation>ibite-packagesltk