def pattern_parse(sentence, trace=0):
tokens = tokenize(sentence.split(". ")[0].strip("?!.")).split()
chart = pattern_chart(tokens, thegrammar, theunigrams, trace)
bestprob = 1e-60
bestframe = None
bestrel = None
bestmatches = None
for pprob, rel, pattern in patterns:
ptok = pattern.split()
for end, prob, frame, matchdict in match_pattern(ptok, 0, chart, tokens):
prob *= pprob
if end == len(tokens):
if trace > 0:
print prob, pattern
if prob > bestprob:
bestprob = prob
bestframe = untokenize(' '.join(frame))
bestrel = rel
bestmatches = matchdict
#if bestpattern is not None: break
return bestprob, bestframe, bestrel, bestmatches
def match_pattern(rhs, start, chart, tokens):
if len(rhs) == 0:
yield start, 1.0, [], {}
return
symb = str(rhs[0])
group = None
if symb[0] == "{":
parts = symb[1:-1].split(':')
symb = parts[0]
if len(parts) > 1: group = parts[1]
for next, prob in chart[symb][start].items():
for end, prob2, frame, matchdict in match_pattern(rhs[1:], next, chart, tokens):
if group is not None:
if group in string.digits:
chunk = ["{%s}" % group]
groupn = int(group)
if groupn == 0: chunk = []
else:
chunk = tokens[start:next]
groupn = group
matchdict[groupn] = untokenize(' '.join(tokens[start:next]))
else: chunk = tokens[start:next]
yield end, prob*prob2, chunk + frame, matchdict