def test_get_posterior(self):
motor_cycles_prior = -19.400790000000001
motor_space_cycles_prior = -20.64209
# phrases with splits and errors
split_str = 'picture of state trooper motor cycles'
joined_str = 'picture of state trooper motorcycles'
query = Suggestion(suggestion_str = joined_str)
suggestion = Suggestion(suggestion_str = split_str)
# edit_distance = (phrase.get_edits(''.join(joined_str.split()),
# ''.join(split_str.split()))[0]\
# + 2 * phrase.space_edit_cost)
# expected = -(edit_distance / len(str(split_str)))
expected = -0.0033333333333333335
likelihood = phrase.get_likelihood(query, suggestion)
self.assertAlmostEqual(likelihood,
expected)
log_split_posterior = motor_space_cycles_prior + phrase.get_likelihood(query,
suggestion)
log_joined_posterior = motor_cycles_prior + phrase.get_likelihood(query,
query)
self.assertAlmostEqual(log_split_posterior, -20.645423333333333)
self.assertAlmostEqual(log_joined_posterior, -19.400790000000001)
def test_get_posterior(self):
motor_cycles_prior = -19.400790000000001
motor_space_cycles_prior = -20.64209
# phrases with splits and errors
split_str = 'picture of state trooper motor cycles'
joined_str = 'picture of state trooper motorcycles'
query = Suggestion(suggestion_str=joined_str)
suggestion = Suggestion(suggestion_str=split_str)
# edit_distance = (phrase.get_edits(''.join(joined_str.split()),
# ''.join(split_str.split()))[0]\
# + 2 * phrase.space_edit_cost)
# expected = -(edit_distance / len(str(split_str)))
expected = -0.0033333333333333335
likelihood = phrase.get_likelihood(query, suggestion)
self.assertAlmostEqual(likelihood, expected)
log_split_posterior = motor_space_cycles_prior + phrase.get_likelihood(
query, suggestion)
log_joined_posterior = motor_cycles_prior + phrase.get_likelihood(
query, query)
self.assertAlmostEqual(log_split_posterior, -20.645423333333333)
self.assertAlmostEqual(log_joined_posterior, -19.400790000000001)
def test_get_likelihood(self):
query = Suggestion(['foo'])
suggestion = Suggestion(['bar'])
expected = phrase.error_penalization * -(
phrase.get_edits(suggestion[0], query[0])[0] / len(str(query)))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected, 2)
# phrase with splits joined up
split_str = 'fo o bar roc ks'
joined_str = 'foo bar rocks'
query = Suggestion(suggestion_str=split_str)
suggestion = Suggestion(suggestion_str=joined_str)
expected = phrase.error_penalization * -(2 * phrase.space_edit_cost /
len(split_str))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected)
# phrases with joins split up
split_str = 'fo o bar roc ks'
joined_str = 'foo bar rocks'
query = Suggestion(suggestion_str=joined_str)
suggestion = Suggestion(suggestion_str=split_str)
expected = phrase.error_penalization * -(2 * phrase.space_edit_cost /
len(joined_str))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected)
# phrases with splits and errors
split_str = 'fo o bcr rxc ks'
joined_str = 'foo bar rocks'
query = Suggestion(suggestion_str=split_str)
suggestion = Suggestion(suggestion_str=joined_str)
edit_distance = (phrase.get_edits(''.join(joined_str.split()),
''.join(split_str.split()))[0]\
+ 2 * phrase.space_edit_cost)
expected = phrase.error_penalization * -(edit_distance /
len(str(split_str)))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected)
def test_get_likelihood(self):
query = Suggestion(['foo'])
suggestion = Suggestion(['bar'])
expected = phrase.error_penalization * -(phrase.get_edits(suggestion[0],
query[0])[0] / len(str(query)))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected, 2)
# phrase with splits joined up
split_str = 'fo o bar roc ks'
joined_str = 'foo bar rocks'
query = Suggestion(suggestion_str = split_str)
suggestion = Suggestion(suggestion_str = joined_str)
expected = phrase.error_penalization * -(2 * phrase.space_edit_cost / len(split_str))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected)
# phrases with joins split up
split_str = 'fo o bar roc ks'
joined_str = 'foo bar rocks'
query = Suggestion(suggestion_str = joined_str)
suggestion = Suggestion(suggestion_str = split_str)
expected = phrase.error_penalization * -(2 * phrase.space_edit_cost / len(joined_str))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected)
# phrases with splits and errors
split_str = 'fo o bcr rxc ks'
joined_str = 'foo bar rocks'
query = Suggestion(suggestion_str = split_str)
suggestion = Suggestion(suggestion_str = joined_str)
edit_distance = (phrase.get_edits(''.join(joined_str.split()),
''.join(split_str.split()))[0]\
+ 2 * phrase.space_edit_cost)
expected = phrase.error_penalization * -(edit_distance / len(str(split_str)))
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
expected)
def test_get_likelihood_splits_special(self):
# TODO
suggestion_likelihood_list = [
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'horses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), 0.0),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'courses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.0092284029735965143),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'horses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), 0.0),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'horses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), 0.0),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'cores', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.0015698587127158554),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'cores', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.0015887726731100226),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'cores', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.0015887726731100226),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'cortes', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.007872379721119217),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'cortes', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.0079672276695664374),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'cortes', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.0079672276695664374),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'courses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.0091185410334346517),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'courses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.0092284029735965143),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'torses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.010714285714285714),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'torses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.010843373493975905),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'torses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.010843373493975905),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'curses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.010989010989010988),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'curses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.011121408711770158),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'curses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.011121408711770158),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corsets', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.012605042016806723),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corsets', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.012756909992912829),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corsets', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.012756909992912829),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corset', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.013632791245994799),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corset', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.013797041742934496),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corset', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.013797041742934496),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'copses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.030612244897959183),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'copses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.030981067125645436),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'copses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.030981067125645436),
(Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'ins', 'tit', 'ute',
'offer', 'corpses', 'conducted', 'by', 'highly', 'qualified',
'staff'
]), -0.034985422740524783),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'offer',
'corpses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.035406933857880504),
(Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]),
Suggestion([
'the', 'departments', 'of', 'the', 'institute', 'of', 'fer',
'corpses', 'conducted', 'by', 'highly', 'qualified', 'staff'
]), -0.035406933857880504)
]
for i, _tuple in enumerate(suggestion_likelihood_list):
query, suggestion, likelihood = _tuple
# print 'suggestion number: ', i
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
likelihood, 2)
def test_get_likelihood_splits_special(self):
# TODO
suggestion_likelihood_list = [
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'horses', 'conducted', 'by', 'highly', 'qualified', 'staff']), 0.0),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'courses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0092284029735965143),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'horses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
0.0),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'horses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
0.0),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'cores', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0015698587127158554),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'cores', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0015887726731100226),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'cores', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0015887726731100226),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'cortes', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.007872379721119217),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'cortes', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0079672276695664374),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'cortes', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0079672276695664374),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'courses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0091185410334346517),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'courses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.0092284029735965143),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'torses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.010714285714285714),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'torses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.010843373493975905),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'torses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.010843373493975905),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'curses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.010989010989010988),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'curses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.011121408711770158),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'curses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.011121408711770158),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corsets', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.012605042016806723),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corsets', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.012756909992912829),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corsets', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.012756909992912829),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corset', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.013632791245994799),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corset', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.013797041742934496),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corset', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.013797041742934496),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'copses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.030612244897959183),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'copses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.030981067125645436),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'copses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.030981067125645436),
(Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'ins', 'tit', 'ute', 'offer', 'corpses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.034985422740524783),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'offer', 'corpses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.035406933857880504),
(Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
Suggestion(['the', 'departments', 'of', 'the', 'institute', 'of', 'fer', 'corpses', 'conducted', 'by', 'highly', 'qualified', 'staff']),
-0.035406933857880504)]
for i, _tuple in enumerate(suggestion_likelihood_list):
query, suggestion, likelihood = _tuple
# print 'suggestion number: ', i
self.assertAlmostEqual(phrase.get_likelihood(query, suggestion),
likelihood, 2)
def generate_suggestions_and_posteriors(self, query,
get_posterior_fn = None):
"""Return (suggestion, posterior) pairs for query.
Get a list of candidate suggestions and calculate posteriors
for each of them.
Arguments:
- `query`: Suggestion object.
"""
if get_posterior_fn == None:
get_posterior_fn = self.get_posterior_fn
# all_queries = [query] + utils.get_corrected_split_queries(query, self.lexicon) \
# + utils.get_corrected_run_on_queries(query, self.lexicon)
all_queries = [query] + utils.get_corrected_split_queries(query, self.lexicon)
# + utils.get_corrected_run_on_queries(query, self.lexicon)
# print 'all_queries'
# pprint(all_queries)
# List of list of (query, suggestion, likelihood) for each query
all_suggestions = [[(query, suggestion)
for suggestion in self.generate_candidate_suggestions(
map(self.generate_candidate_terms, query),
query.suggestion_type)]
for query in all_queries]
# Flatten the list of list of suggestions
all_suggestions = list(itertools.chain(*all_suggestions))
# print 'all_suggestions after flattening'
# pprint(all_suggestions)
all_suggestions.sort(key = lambda query_sugg_tuple:
phrase.get_likelihood(*query_sugg_tuple),
reverse = True)
# print 'suggestions and likelihood'
# pprint([(query, suggestion, phrase.get_likelihood(query, suggestion))
# for query, suggestion in all_suggestions])
# Remove duplicates (if any)
all_suggestions = [key for key, _ in itertools.groupby(all_suggestions)]
# print 'all_suggestions after removing duplicates'
# pprint(all_suggestions)
# Take only the top few suggestions
all_suggestions = all_suggestions[:self.MAX_NUM_SUGGESTIONS]
# print 'len(all_suggestions)'
# pprint(len(all_suggestions))
# print 'all_suggestions after taking off the top'
# pprint(all_suggestions)
all_posteriors = [get_posterior_fn(suggestion, query)
for query, suggestion in all_suggestions]
all_suggestions = list(zip(*all_suggestions)[1])
# TODO
# original_query = query
# original_query_posterior = get_posterior_fn(query, query)
# print 'original_query'
# pprint(original_query, original_query_posterior)
# if original_query_posterior > self.ORIGINAL_POSTERIOR_THRESHOLD:
# all_suggestions += [original_query]
# all_posteriors += [original_query_posterior]
normalized_posteriors = utils.get_normalized_probabilities(all_posteriors)
suggestion_posterior_list = list(zip(all_suggestions, normalized_posteriors))
suggestion_posterior_list.sort(key = lambda pair: pair[1], reverse = True)
return suggestion_posterior_list
from datetime import datetime
import edit_distance_calculator
import itertools
import lexicon
import math
from memoize import save_memoize_table
from suggestion import Suggestion
import phrase
import spell_checker
import sys
import utils
dummy_posterior = 1 / 3.0
dummy_prior = 1 / 3.0
dummy_posterior_fn = lambda suggestion, query: math.exp(math.log(dummy_prior) + phrase.get_likelihood(query, suggestion))
lexicon = lexicon.Lexicon()
def get_inputs(test_label, filename = '../data/words.input'):
"""Return list of input queries read from filename.
Lowercase all the words.
If a query is a sentence, remove the period at the end.
"""
f = open(filename, 'r')
query_list = [Suggestion(suggestion_str = line.strip(),
suggestion_type = test_label[:-1])
for line in f]
f.close()
print 'query_list', query_list