title: Chinese sentence segmenter with Stanford coreNLP
body: <p>I'm using the Stanford coreNLP system with the following command:</p>
  
  <pre><code>java -cp stanford-corenlp-3.5.2.jar:stanford-chinese-corenlp-2015-04-20-models.jar -Xmx3g edu.stanford.nlp.pipeline.StanfordCoreNLP -props StanfordCoreNLP-chinese.properties -annotators segment,ssplit -file input.txt
  </code></pre>
  
  <p>And this is working great on small chinese texts. However, I need to train a MT system which just requires me to segment my input. So I just need to use <code>-annotators segment</code>, but with this parameters the system outputs an empty file. I could run the tool using the <code>ssplit</code> annotator as well but I don't want to do that because my input is a parallel corpora that contains one sentence by line already, and the ssplit will probably not split sentences perfectly and create problems in the parallel data.</p>
  
  <p>Is there a way to tell the system to do the segmentation only, or to tell it that the input already contains a sentence by line exactly?</p>