x = label(s)
if x is None:
x = label_word(s)
if x is not None:
print ' '*depth+x
return
print ' '*depth+label(s)
print_tree(s*vocab.parse('~L_'+x), depth+1)
print_tree(s*vocab.parse('~R_'+x), depth+1)
vocab = Vocabulary(D)
NEXT = vocab.parse('NEXT')
for category, items in words.items():
for item in items:
rules.append((category, [item]))
print rules
sp_goal = vocab.parse('S')
sp_tree = None
for input in input_sentence:
print 'parsing text:', input
sp_lex = vocab.parse(input)
('S', ['NP', 'VP']),
('VP', ['V']),
('NP', ['DET', 'N']),
]
words = {
'N': 'man dog'.split(),
'DET': 'a the'.split(),
'V': 'ran saw'.split(),
}
vocab = Vocabulary(D)
for category, items in words.items():
for item in items:
vocab.add(item, vocab.parse('CATEGORY*%s+TEXT*text_%s'%(category, item)))
sp_goal = vocab.parse('S')
for input in input_sentence:
print 'parsing text:', input
sp_lex = vocab.parse(input)
category = sp_lex*vocab.parse('~CATEGORY')
while True:
print 'looking for rules with LC=', vocab.text(category, include_pairs=False, maximum_count=1)
for LHS, RHS in rules:
c = category.dot(vocab.parse(RHS[0]))
if c>0.7: