def split_sents(passage):
"""
Split the paragraph and the DAG into sentences. The DAG is also transformed into a tree representation.
"""
# Node 1.1 is always a root FN node
outgoing_edges = passage.layer('1').all[0].outgoing
# root_nodes: H, U, L nodes at the top
root_nodes = map(lambda x: node.Internal(x.child,x.tag,0),outgoing_edges)
words = passage.layer('0').all
par = ' '.join(map(lambda x: x.text,words))
tok_par_nodes = correct_split(sent_tokenize(par),root_nodes)
# current_index starts at 1 like the nodes
current_index = 1
for sent,head_nodes in tok_par_nodes:
for head_node in head_nodes:
tree = Tree(head_node)
tree.fill_tree()
print tree.print_tree_penn()
