Markov Chain Language Model Project
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LanguageModelProbability.R
LanguageModelTesting.R
MarkovLanguage.R
MarkovMatrix.R
ModelScoring.R
Perplexity.R
README
Results.R
RfileTest.R
simulator.R
text_vect.R

README

Markov Chain Language Models

Estimated Deadline: 12/5/11

Team:
Lizzie Silver, lizziesilver@gmail.com
Jason Capehart, jasontc2@yahoo.com
Alexander Murray-Watters, amurrayw@cmu.edu


Project Description:



A simple statistical model of language is 
that words follow a Markov chain, with the next word being independent 
of earlier words given the latest word. You will write code to fit this model
 to a collection of documents, to simulate new text from it, and to compare 
it to a second-order Markov chain, where the next word is independent of 
earlier words given the latest two words.