def bracket_parse(files=items):
if type(files) is str:
files = (files,)
for file in files:
path = os.path.join(get_basedir(), "ycoe/psd", file + ".psd")
s = open(path).read()
data = _parse(s)
for sent in data:
yield tree.bracket_parse(sent)
def demo():
"""
A demonstration showing how C{Tree}s and C{Tree}s can be
used. This demonstration creates a C{Tree}, and loads a
C{Tree} from the L{treebank<nltk.corpus.treebank>} corpus,
and shows the results of calling several of their methods.
"""
from nltk_lite.parse import tree
# Demonstrate tree parsing.
s = '(S (NP (DT the) (NN cat)) (VP (VBD ate) (NP (DT a) (NN cookie))))'
t = tree.bracket_parse(s)
print "Convert bracketed string into tree:"
print t
print "Display tree properties:"
print t.node # tree's constituent type
print t[0] # tree's first child
print t[1] # tree's second child
print t.height()
print t.leaves()
print t[1]
print t[1,1]
print t[1,1,0]
# Demonstrate tree modification.
the_cat = t[0]
the_cat.insert(1, tree.bracket_parse('(JJ big)'))
print "Tree modification:"
print t
t[1,1,1] = tree.bracket_parse('(NN cake)')
print t
print
# Demonstrate probabilistic trees.
pt = tree.ProbabilisticTree('x', ['y', 'z'], prob=0.5)
print "Probabilistic Tree:"
print pt
print
# Demonstrate parsing of treebank output format.
t = tree.bracket_parse(t.pp_treebank())[0]
print "Convert tree to bracketed string and back again:"
print t.pp_treebank()
print t
print
# Demonstrate LaTeX output
print "LaTeX output:"
print t.pp_latex_qtree()
print
# Demonstrate Productions
print "Production output:"
print t.productions()
print
# Demonstrate chunk parsing
s = "[ Pierre/NNP Vinken/NNP ] ,/, [ 61/CD years/NNS ] old/JJ ,/, will/MD join/VB [ the/DT board/NN ] ./."
from tree import chunk
print "Chunk Parsing:"
print chunk(s, chunk_node='NP').pp()
print
s = """
These DT B-NP
research NN I-NP
protocols NNS I-NP
offer VBP B-VP
to TO B-PP
the DT B-NP
patient NN I-NP
not RB O
only RB O
the DT B-NP
very RB I-NP
best JJS I-NP
therapy NN I-NP
which WDT B-NP
we PRP B-NP
have VBP B-VP
established VBN I-VP
today NN B-NP
but CC B-NP
also RB I-NP
the DT B-NP
hope NN I-NP
of IN B-PP
something NN B-NP
still RB B-ADJP
better JJR I-ADJP
. . O
"""
print conll_chunk(s, chunk_types=('NP', 'PP', 'VP')).pp()
TreeView(*trees).mainloop()
return
##//////////////////////////////////////////////////////
## Demo Code
##//////////////////////////////////////////////////////
import random
if __name__ == '__main__':
def fill(cw):
cw['fill'] = '#%06d' % random.randint(0,999999)
cf = CanvasFrame(width=550, height=450, closeenough=2)
t = tree.bracket_parse('''
(S (NP the very big cat)
(VP (Adv sorta) (V saw) (NP (Det the) (N dog))))''')
tc = TreeWidget(cf.canvas(), t, draggable=1,
node_font=('helvetica', -14, 'bold'),
leaf_font=('helvetica', -12, 'italic'),
roof_fill='white', roof_color='black',
leaf_color='green4', node_color='blue2')
cf.add_widget(tc,10,10)
def boxit(canvas, text):
big = ('helvetica', -16, 'bold')
return BoxWidget(canvas, TextWidget(canvas, text,
font=big), fill='green')
def ovalit(canvas, text):
return OvalWidget(canvas, TextWidget(canvas, text),
