Stanford Parser and NLTK

Question

Is it possible to use Stanford Parser in NLTK? (I am not talking about Stanford POS.)

Answer 1

You can use the Stanford Parsers output to create a Tree in nltk (nltk.tree.Tree).

Assuming the stanford parser gives you a file in which there is exactly one parse tree for every sentence. Then this example works, though it might not look very pythonic:

f = open(sys.argv[1]+".output"+".30"+".stp", "r")
parse_trees_text=[]
tree = ""
for line in f:
  if line.isspace():
    parse_trees_text.append(tree)
tree = ""
  elif "(. ...))" in line:
#print "YES"
tree = tree+')'
parse_trees_text.append(tree)
tree = ""
  else:
tree = tree + line

parse_trees=[]
for t in parse_trees_text:
  tree = nltk.Tree(t)
  tree.__delitem__(len(tree)-1) #delete "(. .))" from tree (you don't need that)
  s = traverse(tree)
  parse_trees.append(tree)