def __init__(self):
super(POSFeatureExtractor, self).__init__(
token_features=[
features.bias,
features.token_lower,
features.suffix2,
features.suffix3,
features.Grammeme(threshold=0.01, add_unambig=False, ignore=self.IGNORE),
features.GrammemePair(threshold=0.01**2, add_unambig=False, ignore=self.IGNORE),
],
global_features=[
features.sentence_start,
features.sentence_end,
# features.the_only_verb,
features.Pattern([-1, 'token_lower']),
# features.Pattern([+1, 'token_lower']),
features.Pattern([-1, 'Grammeme']),
features.Pattern([+1, 'Grammeme']),
features.Pattern([-1, 'GrammemePair']),
features.Pattern([+1, 'GrammemePair']),
# features.Pattern([-1, 'GrammemePair'], [0, 'GrammemePair']),
],
)
def test_pattern_low_high():
assert features.Pattern([-2, 'foo']).index_low == 2
assert features.Pattern([-2, 'foo']).index_high == 0
assert features.Pattern([-2, 'foo'], index_low=5).index_low == 5
assert features.Pattern([-2, 'foo'], [1, 'bar']).index_high == 1
assert features.Pattern([-2, 'foo'], [1, 'bar'],
index_high=2).index_high == 2
def __init__(self):
super(TaggerFeatureExtractor, self).__init__(
token_features=[
features.bias,
features.token_lower,
features.Grammeme(threshold=0.01,
add_unambig=True,
ignore=self.IGNORE),
# features.GrammemePair(threshold=0.0, add_unambig=True, ignore=self.IGNORE),
],
global_features=[
features.sentence_start,
features.sentence_end,
features.Pattern([-1, 'token_lower']),
features.Pattern([-2, 'token_lower']),
features.Pattern([-1, 'Grammeme']),
features.Pattern([+1, 'Grammeme']),
# features.Pattern([-2, 'Grammeme'], [-1, 'Grammeme']),
# features.Pattern([-1, 'Grammeme'], [0, 'Grammeme']),
# features.Pattern([-1, 'Grammeme'], [0, 'GrammemePair']),
#
# features.Pattern([-1, 'GrammemePair']),
# features.Pattern([+1, 'GrammemePair']),
],
)
def test_pattern(morph):
fe = FeatureExtractor(
[features.token_lower],
[
features.sentence_start,
features.sentence_end,
features.Pattern([-1, 'token_lower']),
],
)
sent = 'Летят гуси на юг'.split()
parsed = [morph.parse(t) for t in sent]
assert fe.transform_single(sent, parsed) == [
{
'token_lower': 'летят',
'sentence_start': 1.0
},
{
'token_lower': 'гуси',
'token_lower[i-1]': 'летят'
},
{
'token_lower': 'на',
'token_lower[i-1]': 'гуси'
},
{
'token_lower': 'юг',
'sentence_end': 1.0,
'token_lower[i-1]': 'на'
},
]
def test_pattern_callable_complex(morph):
sent = 'Летят гуси на юг'.split()
parsed = [morph.parse(t) for t in sent]
def not_title(token, parses, feature_dict):
return not feature_dict.get('title', False)
fe = FeatureExtractor([], [
features.Pattern(
[0, lambda token, parses: token.istitle(), 'title'], ),
features.Pattern(
[-1, 'title'],
[0, 'title'],
),
features.Pattern(
[-1, not_title],
[0, not_title],
[+1, not_title],
)
])
assert fe.transform_single(sent, parsed) == [
{
'title': True
},
{
'title': False,
'title[i-1]/title[i]': 'True/False',
'not_title[i-1]/not_title[i]/not_title[i+1]': 'False/True/True'
},
{
'title': False,
'title[i-1]/title[i]': 'False/False',
'not_title[i-1]/not_title[i]/not_title[i+1]': 'True/True/True'
},
{
'title': False,
'title[i-1]/title[i]': 'False/False'
},
]
def test_pattern_names():
assert features.Pattern([0, 'foo']).name == 'foo[i]'
assert features.Pattern([-1, 'foo'],
[2, 'bar']).name == 'foo[i-1]/bar[i+2]'
def baz(token, parses):
pass
assert features.Pattern([0, baz]).name == 'baz[i]'
assert features.Pattern([0, baz], [1, 'spam']).name == 'baz[i]/spam[i+1]'
assert features.Pattern([1, 'spam'], [0, baz]).name == 'spam[i+1]/baz[i]'
assert features.Pattern([0, baz, 'egg']).name == 'egg'
assert features.Pattern([0, baz], name='fuzz').name == 'fuzz'
assert features.Pattern([0, baz, 'egg'], name='fuzz').name == 'fuzz'
def test_pattern_bigram_with_dict(morph):
sent = 'Летят гуси на юг'.split()
parsed = [morph.parse(t) for t in sent]
fe = FeatureExtractor(
[features.token_lower,
features.Grammeme(threshold=0.1)],
[
features.Pattern([-1, 'Grammeme'], [0, 'token_lower']),
features.Pattern([-1, 'token_lower'], [0, 'Grammeme']),
],
)
xseq = fe.transform_single(sent, parsed)
assert sorted(xseq[1].keys()) == sorted([
'Grammeme',
'Grammeme[i-1]/token_lower[i]',
'token_lower',
'token_lower[i-1]/Grammeme[i]',
])
assert xseq[1]['Grammeme[i-1]/token_lower[i]'] == {
'гуси': xseq[0]['Grammeme']
}
assert xseq[1]['token_lower[i-1]/Grammeme[i]'] == {
'летят': xseq[1]['Grammeme']
}
def test_pattern_cartesian(morph):
sent = 'Летят гуси на юг'.split()
parsed = [morph.parse(t) for t in sent]
fe = FeatureExtractor(
[features.token_lower,
features.Grammeme(threshold=0.1)],
[
features.Pattern([-1, 'Grammeme'], [0, 'Grammeme']),
features.Drop('Grammeme')
],
)
xseq = fe.transform_single(sent, parsed)
assert xseq[0] == {'token_lower': 'летят'}
assert sorted(xseq[1].keys()) == sorted(
['Grammeme[i-1]/Grammeme[i]', 'token_lower'])
assert xseq[1]['Grammeme[i-1]/Grammeme[i]']['VERB/NOUN'] == 1.0
def test_pattern_callable(morph):
sent = 'Летят гуси на юг'.split()
parsed = [morph.parse(t) for t in sent]
fe = FeatureExtractor([], [
features.Pattern(
[0, lambda token, parses: token.istitle(), 'title'], ),
])
assert fe.transform_single(sent, parsed) == [
{
'title': True
},
{
'title': False
},
{
'title': False
},
{
'title': False
},
]
def test_pattern_kwargs(morph):
sent = 'Летят гуси на юг'.split()
parsed = [morph.parse(t) for t in sent]
fe = FeatureExtractor(
[features.token_lower],
[
features.sentence_start,
features.sentence_end,
features.Pattern(
[+1, 'token_lower'],
[-1, 'sentence_start'],
name='low+1 BOS-1',
index_low=0,
index_high=0,
),
],
)
assert fe.transform_single(sent, parsed) == [
{
'token_lower': 'летят',
'sentence_start': 1.0,
'low+1 BOS-1': 'гуси/?'
},
{
'token_lower': 'гуси',
'low+1 BOS-1': 'на/1.0'
},
{
'token_lower': 'на',
'low+1 BOS-1': 'юг/0.0'
},
{
'token_lower': 'юг',
'sentence_end': 1.0,
'low+1 BOS-1': '?/0.0'
},
]
