def read_stage_file(self):
ScoringExperiment.read_stage_file(self)
if "terminal_labeling" in self.stage_dict:
terminal_labeling_path = self.stage_dict["terminal_labeling"]
with open(terminal_labeling_path, "r") as tlf:
self.terminal_labeling = deserialize_labeling(json.load(tlf))
self.induction_settings.terminal_labeling = self.terminal_labeling
def test_suffix_labeling(self):
file = "res/TIGER/tiger21/tigertraindev_root_attach.export"
corpus = np.sentence_names_to_hybridtrees([str(x) for x in range(50) if x % 10 > 1], file,
disconnect_punctuation=False)
labeling = tl.Suffix(trees=corpus, threshold=2)
label = [labeling.token_label(mt.ConstituentTerminal('Tisch', 'NN')),
labeling.token_label(mt.ConstituentTerminal('TISCH', 'NN')),
labeling.token_label(mt.ConstituentTerminal('§"$&(-.,', 'XY')),
labeling.token_label(mt.ConstituentTerminal('1975', 'CARD')),
labeling.token_label(mt.ConstituentTerminal('stronghold', 'FM')),
labeling.token_label(mt.ConstituentTerminal('den', 'ART'))
]
serialization = labeling.serialize()
print(serialization)
instance2 = tl.deserialize_labeling(serialization)
label2 = [
labeling.token_label(mt.ConstituentTerminal('Tisch', 'NN')),
labeling.token_label(mt.ConstituentTerminal('TISCH', 'NN')),
labeling.token_label(mt.ConstituentTerminal('§"$&(-.,', 'XY')),
labeling.token_label(mt.ConstituentTerminal('1975', 'CARD')),
labeling.token_label(mt.ConstituentTerminal('stronghold', 'FM')),
labeling.token_label(mt.ConstituentTerminal('den', 'ART'))]
print(label)
self.assertEqual(label, label2)
self.assertTrue(isinstance(instance2, labeling.__class__))
def test_fallback_labeling(self):
file = "res/TIGER/tiger21/tigertraindev_root_attach.export"
corpus = np.sentence_names_to_hybridtrees(
[str(x) for x in range(50) if x % 10 > 1],
file,
disconnect_punctuation=False)
labeling = tl.FrequencyBiasedTerminalLabeling(tl.FormTerminals(),
tl.PosTerminals(),
corpus=corpus,
threshold=2)
print(labeling.fine_label_count)
token1 = mt.ConstituentTerminal('Milliardär', 'NN')
token2 = mt.ConstituentTerminal('Tisch', 'NN')
label1 = labeling.token_label(token1)
label2 = labeling.token_label(token2)
f = io.StringIO()
json.dump(labeling.serialize(), f)
f.seek(0)
print(f.getvalue())
instance2 = tl.deserialize_labeling(json.load(f))
self.assertTrue(isinstance(instance2, labeling.__class__))
self.assertEqual(label1, instance2.token_label(token1))
self.assertEqual(label2, instance2.token_label(token2))
def test_unk4_labeling(self):
file = "res/TIGER/tiger21/tigertraindev_root_attach.export"
corpus = np.sentence_names_to_hybridtrees([str(x) for x in range(50) if x % 10 > 1], file,
disconnect_punctuation=False)
labeling = tl.UNK4(trees=corpus, threshold=2, use_pos=False)
label = [labeling.token_label(mt.ConstituentTerminal('Tisch', 'NN')),
labeling.token_label(mt.ConstituentTerminal('TISCH', 'NN')),
labeling.token_label(mt.ConstituentTerminal('§"$&(-.,', 'NN')),
labeling.token_label(mt.ConstituentTerminal('Ätsch', 'NN')),
labeling.token_label(mt.ConstituentTerminal('Milliardär', 'NN'))]
serialization = labeling.serialize()
print(serialization)
instance2 = tl.deserialize_labeling(serialization)
label2 = [instance2.token_label(mt.ConstituentTerminal('Tisch', 'NN')),
instance2.token_label(mt.ConstituentTerminal('TISCH', 'NN')),
instance2.token_label(mt.ConstituentTerminal('§"$&(-.,', 'NN')),
instance2.token_label(mt.ConstituentTerminal('Ätsch', 'NN')),
instance2.token_label(mt.ConstituentTerminal('Milliardär', 'NN'))]
print(label)
self.assertEqual(label, label2)
self.assertTrue(isinstance(instance2, labeling.__class__))
labeling = tl.UNK4(trees=corpus, threshold=2, use_pos=True)
label = [labeling.token_label(mt.ConstituentTerminal('Tisch', 'NN')),
labeling.token_label(mt.ConstituentTerminal('TISCH', 'NN')),
labeling.token_label(mt.ConstituentTerminal('§"$&(-.,', 'NN')),
labeling.token_label(mt.ConstituentTerminal('Ätsch', 'NN')),
labeling.token_label(mt.ConstituentTerminal('Milliardär', 'NN'))]
serialization = labeling.serialize()
print(serialization)
instance2 = tl.deserialize_labeling(serialization)
label2 = [instance2.token_label(mt.ConstituentTerminal('Tisch', 'NN')),
instance2.token_label(mt.ConstituentTerminal('TISCH', 'NN')),
instance2.token_label(mt.ConstituentTerminal('§"$&(-.,', 'NN')),
instance2.token_label(mt.ConstituentTerminal('Ätsch', 'NN')),
instance2.token_label(mt.ConstituentTerminal('Milliardär', 'NN'))]
print(label)
self.assertEqual(label, label2)
self.assertTrue(isinstance(instance2, labeling.__class__))
def test_simple_labelings(self):
for labeling_class in [tl.PosTerminals, tl.FormTerminals, tl.CPosTerminals]:
instance = labeling_class()
serialization = instance.serialize()
print(serialization)
instance2 = tl.deserialize_labeling(serialization)
self.assertTrue(isinstance(instance2, labeling_class))
def test_composition_labeling(self):
complex = tl.CompositionalTerminalLabeling(tl.FormTerminals(), tl.PosTerminals(), binding_string='/')
token = mt.ConstituentTerminal('Tisch', 'NN')
label = complex.token_label(token)
print(token, label)
serialization = complex.serialize()
print(serialization)
instance2 = tl.deserialize_labeling(serialization)
self.assertTrue(isinstance(instance2, complex.__class__))
self.assertEqual(label, instance2.token_label(token))
