Post-Processing and Markov Chains Program-

Project Overview -

Goals:

• Create a text generator that uses a Markov chain
• Practice starting from scratch
• Using data to train a generative model
• Post-filtering the output of a generative model

For this assignment, you will need a technical collaborator/buddy to work with. Also, you will share two screenshots of your project. One a few days early, and one on the due date.

Post-Processing -

Your generator should use post-processing on the generated text:

• Use generate-and-test to constrain the output of your generator to between 100 and 140 characters.

Feel free to do additional post-processing if it helps your framing or theme!

Tips & Advanced Techniques -

• Get the code from these slides working early
• Experiment with different settings for the Markov chain
• Try using a short section of text, not a full novel: Tracery grammars are an inefficient representation for giant Markov chains.
• Try other forms of post-processing! - What about making sure sentences are properly capitalized?
• If you use code that you didn't write, cite the source it came from.

Attachment:- Assignment File.rar