word=''.join(tree.leaves())
if word in Vec: # word in the scope of our vocabulary/corpus, go on (ignore others)
tag_collapsed=Vec[word]
if tag_collapsed in Tag2Word:
Tag2Word[tag_collapsed].add(word)
else:
Tag2Word[tag_collapsed]={word}
Forest.append(tree)
for subtree in tree.subtrees():
string=''.join(subtree.leaves())
if not string in Str2Code:
Str2Code[string]=type_count
Code2Str[type_count]=string
type_count +=1
print('\nCurrent type count is:', type_count)
print('while current Vec size is:', len(Vec))
print('tmp test', type_count,len(Str2Code))
string=''.join(tree.leaves())
#If the word has occurred in the corpus...
if string in Vec:
Forest.append(tree)
tag_set=Vec[string]
S.append(tree)
for s in tree.subtrees():
Symbols2.add(''.join(s.leaves()))
while S:
current_tree=S.pop()
string=''.join(current_tree.leaves())
Symbols.add(string)
# propogate the tagset to current tree, note: one useless update for the root node
if string in Vec:
Vec[string].update(tag_set)
else: