def main():
parser = argparse.ArgumentParser(description='Part-of-Speech Tagging.')
parser.add_argument(
'--prefix',
'-p',
type=str,
default='',
help='specify prefix of files which will be used to store model')
parser.add_argument('--times',
'-t',
type=int,
default=1,
help='specify iteration times')
parser.add_argument(
'--all',
'-a',
action='store_true',
help='without this switch, model will be trained by random sampled data'
)
parser.add_argument('--file',
'-f',
type=str,
default='',
help='specify test data file')
parser.add_argument('--save',
'-s',
action='store_true',
help='enable this to save model file')
args = parser.parse_args()
tagger = Tagger('data/wsj00-18.pos', args.times, not args.all, args.save,
args.prefix)
test_data = Processor(args.file)
tagger.benchmark(test_data)
