Source classifier identifies programming language using a Bayesian classifier trained on a corpus generated from the Computer Language Benchmarks Game . It is written in Ruby and availabe as a gem. To train the classifier to identify new languages download the sources from github.

First install the gem using github as a source

Then, to use

  require 'rubygems'
  require 'sourceclassifier'
  
  s = SourceClassifier.new
  
  ruby_text = <<EOT
  def my_sorting_function(a)
    a.sort
  end
  EOT
  
  c_text = <<EOT
  #include <unistd.h>
  
  int main() {
    write(1, "hello world\n", 12);
    return(0);
  }
  EOT
  
  s.identify(ruby_text) #=> Ruby
  s.identify(c_text) #=> Gcc

Download the sources from github and in the directory run the training rake test

In the ./sources directory are subdirectories for each language you wish to be able to identify. Each subdirectory contains examples of programs written in that language. The name of the directory is significant – it is the value returned by the SourceClassifier.identify() method.

The rake task populate can be used to build these subdirectories from a checkout of the computer language shootout sources but you are free to train the classifier using any available examples.

This library depends heavily on the great Classifier gem by Lucas Carlson and David Fayram II.