Found other places where old cfg module was referenced.

Fixed several stale lines in nltk_contrib/misc/*.py


svn/trunk@6753

nltk/data.py

@@ -352,9 +352,9 @@ def retrieve(resource_url, filename=None, verbose=True):
 FORMATS = {
     'pickle': "A serialized python object, stored using the pickle module.",
     'yaml': "A serialzied python object, stored using the yaml module.",
-    'cfg': "A context free grammar, parsed by nltk.cfg.parse_cfg().",
-    'pcfg': "A probabilistic CFG, parsed by nltk.cfg.parse_pcfg().",
-    'fcfg': "A feature CFG, parsed by nltk.cfg.parse_fcfg().",
+    'cfg': "A context free grammar, parsed by nltk.parse_cfg().",
+    'pcfg': "A probabilistic CFG, parsed by nltk.parse_pcfg().",
+    'fcfg': "A feature CFG, parsed by nltk.parse_fcfg().",
     'fol': "A list of first order logic expressions, parsed by "
             "nltk.sem.parse_fol() using nltk.sem.logic.LogicParser.",
     'logic': "A list of first order logic expressions, parsed by "

nltk/grammar.py

@@ -442,7 +442,7 @@ def check_coverage(self, tokens):
         if missing:
             missing = ', '.join('%r' % (w,) for w in missing)
             raise ValueError("Grammar does not cover some of the "
-                             "input words: %r." +missing)
+                             "input words: %r." % missing)
 
     # [xx] does this still get used anywhere, or does check_coverage
     # replace it?
@@ -943,7 +943,7 @@ def parse_fcfg(input, features=None, logic_parser=None, fstruct_parser=None):
     lexicon = earley_lexicon(lexical_productions)
     return ContextFreeGrammar(start, grammatical_productions, lexicon)
 
-@deprecated("Use nltk.cfg.parse_fcfg() instead.")
+@deprecated("Use nltk.parse_fcfg() instead.")
 def parse_featcfg(input): 
     return parse_fcfg(input)
 

nltk/tree.py

@@ -15,7 +15,7 @@
 import re
 import string
 
-import nltk.grammar
+from grammar import Production, Nonterminal
 from probability import ProbabilisticMixIn
 from util import slice_bounds
 
@@ -252,7 +252,7 @@ def productions(self):
         if not isinstance(self.node, str):
             raise TypeError, 'Productions can only be generated from trees having node labels that are strings'
 
-        prods = [nltk.cfg.Production(nltk.cfg.Nonterminal(self.node), _child_names(self))]
+        prods = [Production(Nonterminal(self.node), _child_names(self))]
         for child in self:
             if isinstance(child, Tree):
                 prods += child.productions()
@@ -1293,7 +1293,7 @@ def _child_names(tree):
     names = []
     for child in tree:
         if isinstance(child, Tree):
-            names.append(nltk.cfg.Nonterminal(child.node))
+            names.append(Nonterminal(child.node))
         else:
             names.append(child)
     return names