title: How to speed up the model creation process of OpenNLP
body: <p>I am using OpenNLP Token Name finder for parsing the Unstructured data, I have created a corpus(training set) of 4MM records but as I am creating a model out of this corpus using OpenNLP API's in Eclipse, process is taking around 3 hrs which is very time consuming. Model is building on default parameters that is iteration 100 and cutoff 5.</p>
  
  <p>So my question is, how can I speed up this process, how can I reduce the time taken by the process for building the model.</p>
  
  <p>Size of the corpus could be the reason for this but just wanted to know if someone came across this kind of problem and if so, then how to solve this.</p>
  
  <p>Please provide some clue.</p>
  
  <p>Thanks in advance!</p>