optparser.add_option("-f", "--print-features", dest="print_features", action="store_true", \
help="print all features (id=val)", default=False)
optparser.add_option("-c", "--nocheck", dest="check_feats", action="store_false", \
help="do not check feats (default is to check)", default=True)
optparser.add_option("-v", "--verbose", dest="verbose", action="store_true", \
help="print result for each sentence", default=False)
optparser.add_option("-d", "--debug", dest="debug", action="store_true", \
help="print result for each sentence", default=False)
optparser.add_option("-b", "", dest="budecoder", action="store_true", \
help="print result for each sentence", default=False)
optparser.add_option("", "--defaultnbest", dest="defaultnbest", help="default nbests", metavar="FILE", default=None)
(opts, args) = optparser.parse_args()
if opts.weights is not None:
weights = get_weights(opts.weights)
else:
weights = Vector("lm1=2 gt_prob=1")
extra_feats = None # prep_features(args)
decoder = LocalDecoder() #BUDecoder(opts.k, extra_feats, check_feats=False)
decoder.set_feats(extra_feats)
all_pp = Bleu() # Parseval(), now BLEU
decode_time, parseval_time = 0, 0
sum_score = 0
if opts.defaultnbest:
defaultnbests = defaultdict(lambda : [])
for line in open(opts.defaultnbest):
## decoder = [NBestDecoder(opts.N), \
## LocalDecoder(), \
## BUDecoder(opts.k, check_feats=False, adaptive_base=opts.adaptive)]\
## [opts.mode]
decoder = LocalDecoder(opts.hope)
print >> logs, "decoder = %s" % decoder
### must read forest first! otherwise slow!
# forests = []
# for forest in decoder.load("-"):
# forests.append(forest)
if opts.weightsfile is not None:
weights = get_weights(opts.weightsfile) # see forest.py
else:
weights = Vector("lm1=2 gt_prob=1") ## initial vector
initial_weights = weights.__copy__()
extra_feats = None #prep_features(args)
decoder.set_feats(extra_feats)
all_feats = extra_feats
if opts.trainfile == "-":
trainforests = []
for forest in decoder.load(opts.trainfile):
decoder.do_oracle(forest, weights)
trainforests.append(forest)
