print("---------------------------------")
accuracy = correct / (correct + incorrect)
print('Tagging accuracy for test set of %s sentences: %.4f' %
(test_size, accuracy))
# Print answers for 4b, 5 and 6
bad_tags, good_tags, answer4b = answer_question4b()
print('\nA tagged-by-your-model version of a sentence:')
print(bad_tags)
print('The tagged version of this sentence from the corpus:')
print(good_tags)
print('\nDiscussion of the difference:')
print(answer4b[:280])
answer5 = answer_question5()
print('\nFor Q5:')
print(answer5[:500])
answer6 = answer_question6()
print('\nFor Q6:')
print(answer6[:500])
if __name__ == '__main__':
if len(sys.argv) > 1 and sys.argv[1] == '--answers':
import adrive2_embed
from autodrive_embed import run, carefulBind
with open("userErrs.txt", "w") as errlog:
run(globals(), answers, adrive2_embed.a2answers, errlog)
else:
answers()
),
('a4e', 'list(ttags)'),
('a5', 'answer5'),
('a6', 'answer6')
],
globals(),
errlog)
errs += cerrs
try:
model.initialise('attack')
except NotImplementedError:
pass
except Exception as e:
errs += 1
print("Exception in initialising model in adrive2:\n%s" % repr(e),
file=errlog)
traceback.print_tb(sys.exc_info()[2], None, errlog)
(cerrs,
nans) = carefulBind([('a3c', 'model.get_viterbi_value("VERB",0)'),
('a3d', 'model.get_backpointer_value("VERB",0)')],
globals(), errlog)
ans.update(nans)
errs += cerrs
return (ans, errs)
if __name__ == '__main__':
from autodrive_embed import run, answers, HMM, carefulBind
with open("userErrs.txt", "w") as errlog:
run(answers, a2answers, errlog)
