title: OpenNLP vs Stanford CoreNLP
body: <p>I've been doing a little comparison of these two packages and am not sure which direction to go in. What I am looking for briefly is:</p>
  
  <ol>
  <li>Named Entity Recognition (people, places, organizations and such).</li>
  <li>Gender identification.</li>
  <li>A decent training API.</li>
  </ol>
  
  <p>From what I can tell, OpenNLP and Stanford CoreNLP expose pretty similar capabilities. However, Stanford CoreNLP looks like it has a lot more activity whereas OpenNLP has only had a few commits in the last six months.</p>
  
  <p>Based on what I saw, OpenNLP appears to be easier to train new models and might be more attractive for that reason alone. However, my question is what would others start with as the basis for adding NLP features to a Java app? I'm mostly worried as to whether OpenNLP is "just mature" versus semi-abandoned.</p>