Natural Language Toolkit

...software, data sets and tutorials for natural language processing...

Teaching

 

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Design of NLTK

Self-paced learning
  • NLTK is accessible to a broad range of students
  • it covers knowledge and skills for many areas of Natural Language Processing (NLP)
  • NLTK permits students to learn at their own pace and to test their knowledge as they go - e.g. see the Introduction to Programming
  • all modules are thoroughly documented
Learning Python
  • Python is easy to learn and has good string-handling functionality
  • Python is an interpreted language, which facilitates interactive exploration
  • Python is object-oriented, which permits data and methods to be re-used easily
  • Python has an extensive library including support for graphical and numerical processing
  • the NLTK Book teaches Python programming with the aid of many linguistic examples
Accessing data
Reading the code
  • we've been careful to ensure that NLTK code is as readable as possible, so students can learn NLP algorithms by reading the code; here is the n-gram tagger implementation
  • simplicity and clarity are given higher priority than efficiency and clever programming tricks
  • naming conventions are consistent and transparent

What NLTK Provides

Easy-to-install distributions
Tutorials and exercises
  • The NLTK Book is written in an informal tutorial style
  • It includes hundreds of exercises, graded for difficulty
  • It includes many suggestions for further reading
Interactive demonstrations
Slides
  • Presentation slides are in preparation; some are already available here (latex beamer format). Other slides may be available via the web pages of other courses using NLTK.

Courses

Courses
Many courses use NLTK; here is a list of the courses we are aware of.
Personal tools