title: How to use MaltParser using python On windows
body: <p>I am trying to use python nltk wrapper of MaltParser on my windows machine for dependency Parsing. I went through several help and posts here but unable to resolve my issue.
  After downloading various version zip of MLT parser I am still unable to run it.
  In eclipse I added maltparser-1.8.1.jar file as dependency and also tried adding malt.jar from earlier version but not working.</p>
  
  <p>Here is my basic implementation </p>
  
  <pre><code>import nltk
  parser2 =nltk.parse.malt.MaltParser()
  txt="This is a test sentence"
  parser2.train_from_file('engmalt.poly-1.7.mco')
  parser2.raw_parse(text)
  </code></pre>
  
  <p>I am getting this error:</p>
  
  <pre><code>Traceback (most recent call last):
    File "C:\Users\Mrinal\workspace\RSTParser\depParser.py", line 7, in &lt;module&gt;
      parser2 =nltk.parse.malt.MaltParser()
    File "C:\Python27\lib\site-packages\nltk\parse\malt.py", line 36, in __init__
      self.config_malt()
    File "C:\Python27\lib\site-packages\nltk\parse\malt.py", line 88, in config_malt
      verbose=verbose)
    File "C:\Python27\lib\site-packages\nltk\internals.py", line 544, in find_binary
      binary_names, url, verbose))
    File "C:\Python27\lib\site-packages\nltk\internals.py", line 538, in find_binary_iter
      url, verbose):
    File "C:\Python27\lib\site-packages\nltk\internals.py", line 517, in find_file_iter
      raise LookupError('\n\n%s\n%s\n%s' % (div, msg, div))
  LookupError: 
  
  ===========================================================================
  NLTK was unable to find the malt.jar file!
  Use software specific configuration paramaters or set the MALT_PARSER environment variable.
  
    Searched in:
      - .
  
    For more information, on malt.jar, see:
      &lt;http://www.maltparser.org/&gt;
  ===========================================================================
  </code></pre>
  
  <p>Please guide me as I am new to this. Thanks!
  Also any idea on other parser which can be run easily for dependency parse on windows. I trying looking Stanford's core NLP but using it python is not the easiest. </p>