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As a part of my academic project I need to parse a bunch of arbitrary sentences into a dependency graph. After a searching a lot I got the solution that I can use Malt Parser for parsing text with its pre trained grammer. I have downloaded pre-trained model (engmalt.linear-1.7.mco) from http://www.maltparser.org/mco/mco.html . BUt I don't know how to parse my sentences using this grammer file and malt parser (by the python interface for malt). I have downloaded latest version of malt parser (1.7.2) and moved it to '/usr/lib/' import nltk; parser =nltk.parse.malt.MaltParser() txt="This is a test sentence" parser.train_from_file('/home/rohith/malt-1.7.2/engmalt.linear-1.7.mco') parser.raw_parse(txt) after executing the last line the following eror message is dispalyed Traceback (most recent call last): File "<pyshell#7>", line 1, in <module> parser.raw_parse(txt) File "/usr/local/lib/python2.7/dist-packages/nltk-2.0b5-py2.7.egg/nltk/parse/malt.py", line 88, in raw_parse return self.parse(words, verbose) File "/usr/local/lib/python2.7/dist-packages/nltk-2.0b5-py2.7.egg/nltk/parse/malt.py", line 75, in parse return self.tagged_parse(taggedwords, verbose) File "/usr/local/lib/python2.7/dist-packages/nltk-2.0b5-py2.7.egg/nltk/parse/malt.py", line 122, in tagged_parse return DependencyGraph.load(output_file) File "/usr/local/lib/python2.7/dist-packages/nltk-2.0b5-py2.7.egg/nltk/parse/dependencygraph.py", line 121, in load return DependencyGraph(open(file).read()) IOError: [Errno 2] No such file or directory: '/tmp/malt_output.conll' Please help me to parse that sentence using this malt parser.

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