def corpus_data_ur_sr():
levels = [SegmentTier('sr', 'phone'),
OrthographyTier('word', 'word'),
TranscriptionTier('ur', 'word')]
srs = [('k', 0.0, 0.1), ('ae', 0.1, 0.2), ('s', 0.2, 0.4),
('aa', 0.5, 0.6), ('r', 0.6, 0.7),
('k', 0.8, 0.9), ('u', 0.9, 1.1),
('d', 2.0, 2.1), ('aa', 2.1, 2.2), ('g', 2.2, 2.25),
('ah', 2.25, 2.3), ('z', 2.3, 2.4),
('aa', 2.4, 2.5), ('r', 2.5, 2.6),
('t', 2.6, 2.7), ('uw', 2.7, 2.8),
('ay', 3.0, 3.1),
('g', 3.3, 3.4), ('eh', 3.4, 3.5), ('s', 3.5, 3.6)]
words = [('cats', 0.0, 0.4), ('are', 0.5, 0.7), ('cute', 0.8, 1.1),
('dogs', 2.0, 2.4), ('are', 2.4, 2.6), ('too', 2.6, 2.8),
('i', 3.0, 3.1), ('guess', 3.3, 3.6)]
urs = [('k.ae.t.s', 0.0, 0.4), ('aa.r', 0.5, 0.7), ('k.y.uw.t', 0.8, 1.1),
('d.aa.g.z', 2.0, 2.4), ('aa.r', 2.4, 2.6), ('t.uw', .6, 2.8),
('ay', 3.0, 3.1), ('g.eh.s', 3.3, 3.6)]
levels[0].add(srs)
levels[1].add(words)
levels[2].add(urs)
hierarchy = Hierarchy({'phone': 'word', 'word': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_ursr')
return data
def corpus_data_syllable_morpheme_srur():
levels = [SegmentTier('sr', 'phone', label=True),
TranscriptionTier('ur', 'word'),
GroupingTier('syllable', 'syllable'),
MorphemeTier('morphemes', 'word'),
OrthographyTier('word', 'word'),
GroupingTier('line', 'line')]
srs = [('b', 0, 0.1), ('aa', 0.1, 0.2), ('k', 0.2, 0.3), ('s', 0.3, 0.4),
('ah', 0.4, 0.5), ('s', 0.5, 0.6),
('er', 0.7, 0.8),
('f', 0.9, 1.0), ('er', 1.0, 1.1),
('p', 1.2, 1.3), ('ae', 1.3, 1.4), ('k', 1.4, 1.5), ('eng', 1.5, 1.6)]
urs = [('b.aa.k.s-ah.z', 0, 0.6), ('aa.r', 0.7, 0.8),
('f.ao.r', 0.9, 1.1), ('p.ae.k-ih.ng', 1.2, 1.6)]
syllables = [(0, 0.3), (0.3, 0.6), (0.7, 0.8), (0.9, 1.1),
(1.2, 1.5), (1.5, 1.6)]
morphemes = [('box-PL', 0, 0.6), ('are', 0.7, 0.8),
('for', 0.9, 1.1), ('pack-PROG', 1.2, 1.6)]
words = [('boxes', 0, 0.6), ('are', 0.7, 0.8),
('for', 0.9, 1.1), ('packing', 1.2, 1.6)]
lines = [(0, 1.6)]
levels[0].add(srs)
levels[1].add(urs)
levels[2].add(syllables)
levels[3].add(morphemes)
levels[4].add(words)
levels[5].add(lines)
hierarchy = Hierarchy({'phone': 'syllable', 'syllable': 'word',
'word': 'line', 'line': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_syllable_morpheme')
return data
def subannotation_data():
levels = [SegmentTier('label', 'phone'),
OrthographyTier('label', 'word'),
OrthographyTier('stop_information', 'phone')]
levels[2].subannotation = True
phones = [('k', 0.0, 0.1), ('ae', 0.1, 0.2), ('t', 0.2, 0.3), ('s', 0.3, 0.4),
('aa', 0.5, 0.6), ('r', 0.6, 0.7),
('k', 0.8, 0.9), ('u', 0.9, 1.0), ('t', 1.0, 1.1),
('d', 2.0, 2.1), ('aa', 2.1, 2.2), ('g', 2.2, 2.3), ('z', 2.3, 2.4),
('aa', 2.4, 2.5), ('r', 2.5, 2.6),
('t', 2.6, 2.7), ('uw', 2.7, 2.8),
('ay', 3.0, 3.1),
('g', 3.3, 3.4), ('eh', 3.4, 3.5), ('s', 3.5, 3.6)]
words = [('cats', 0.0, 0.4), ('are', 0.5, 0.7), ('cute', 0.8, 1.1),
('dogs', 2.0, 2.4), ('are', 2.4, 2.6), ('too', 2.6, 2.8),
('i', 3.0, 3.1), ('guess', 3.3, 3.6)]
info = [('burst', 0, 0.05), ('vot', 0.05, 0.1), ('closure', 0.2, 0.25),
('burst', 0.25, 0.26), ('vot', 0.26, 0.3), ('closure', 2.2, 2.25),
('burst', 2.25, 2.26), ('vot', 2.26, 2.3),
('voicing_during_closure', 2.2, 2.23), ('voicing_during_closure', 2.24, 2.25)]
levels[0].add(phones)
levels[1].add(words)
levels[2].add(info)
hierarchy = Hierarchy({'phone': 'word', 'word': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_sub')
return data
def corpus_data_untimed():
levels = [TextTranscriptionTier('transcription', 'word'),
TextOrthographyTier('spelling', 'word'),
TextMorphemeTier('morpheme', 'word'),
GroupingTier('line', 'line')]
transcriptions = [('k.ae.t-s', 0), ('aa.r', 1), ('k.y.uw.t', 2),
('d.aa.g-z', 3), ('aa.r', 4), ('t.uw', 5),
('ay', 6), ('g.eh.s', 7)]
morphemes = [('cat-PL', 0), ('are', 1), ('cute', 2),
('dog-PL', 3), ('are', 4), ('too', 5),
('i', 6), ('guess', 7)]
words = [('cats', 0), ('are', 1), ('cute', 2),
('dogs', 3), ('are', 4), ('too', 5),
('i', 6), ('guess', 7)]
lines = [(0, 2), (3, 5), (6, 7)]
levels[0].add(transcriptions)
levels[1].add(words)
levels[2].add(morphemes)
levels[3].add(lines)
hierarchy = Hierarchy({'word': 'line', 'line': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_untimed')
return data
def corpus_data_syllable_morpheme_srur():
levels = [SegmentTier('sr', 'phone', label = True),
TranscriptionTier('ur', 'word'),
GroupingTier('syllable', 'syllable'),
MorphemeTier('morphemes', 'word'),
OrthographyTier('word', 'word'),
GroupingTier('line', 'line')]
srs = [('b', 0, 0.1), ('aa', 0.1, 0.2), ('k', 0.2, 0.3), ('s', 0.3, 0.4),
('ah', 0.4, 0.5), ('s', 0.5, 0.6),
('er', 0.7, 0.8),
('f', 0.9, 1.0), ('er', 1.0, 1.1),
('p', 1.2, 1.3), ('ae', 1.3, 1.4), ('k', 1.4, 1.5), ('eng', 1.5, 1.6)]
urs = [('b.aa.k.s-ah.z', 0, 0.6), ('aa.r', 0.7, 0.8),
('f.ao.r', 0.9, 1.1), ('p.ae.k-ih.ng', 1.2, 1.6)]
syllables = [(0, 0.3), (0.3, 0.6), (0.7, 0.8), (0.9, 1.1),
(1.2, 1.5), (1.5, 1.6)]
morphemes = [('box-PL', 0, 0.6), ('are', 0.7, 0.8),
('for', 0.9, 1.1), ('pack-PROG', 1.2, 1.6)]
words = [('boxes', 0, 0.6), ('are', 0.7, 0.8),
('for', 0.9, 1.1), ('packing', 1.2, 1.6)]
lines = [(0, 1.6)]
levels[0].add(srs)
levels[1].add(urs)
levels[2].add(syllables)
levels[3].add(morphemes)
levels[4].add(words)
levels[5].add(lines)
hierarchy = Hierarchy({'phone': 'syllable', 'syllable': 'word',
'word': 'line', 'line': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_syllable_morpheme')
return data
def corpus_data_untimed():
levels = [TextTranscriptionTier('transcription', 'word'),
TextOrthographyTier('spelling', 'word'),
TextMorphemeTier('morpheme', 'word'),
GroupingTier('line', 'line')]
transcriptions = [('k.ae.t-s', 0), ('aa.r', 1), ('k.y.uw.t', 2),
('d.aa.g-z', 3), ('aa.r', 4), ('t.uw', 5),
('ay', 6), ('g.eh.s', 7)]
morphemes = [('cat-PL', 0), ('are', 1), ('cute', 2),
('dog-PL', 3), ('are', 4), ('too',5),
('i', 6), ('guess', 7)]
words = [('cats', 0), ('are', 1), ('cute', 2),
('dogs', 3), ('are', 4), ('too', 5),
('i', 6), ('guess', 7)]
lines = [(0, 2), (3, 5), (6, 7)]
levels[0].add(transcriptions)
levels[1].add(words)
levels[2].add(morphemes)
levels[3].add(lines)
hierarchy = Hierarchy({'word': 'line', 'line': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_untimed')
return data
def corpus_data_ur_sr():
levels = [SegmentTier('sr', 'phone'),
OrthographyTier('word', 'word'),
TranscriptionTier('ur', 'word')]
srs = [('k', 0.0, 0.1), ('ae', 0.1, 0.2), ('s', 0.2, 0.4),
('aa', 0.5, 0.6), ('r', 0.6, 0.7),
('k', 0.8, 0.9), ('u', 0.9, 1.1),
('d', 2.0, 2.1), ('aa', 2.1, 2.2), ('g', 2.2, 2.25),
('ah', 2.25, 2.3), ('z', 2.3, 2.4),
('aa', 2.4, 2.5), ('r', 2.5, 2.6),
('t', 2.6, 2.7), ('uw', 2.7, 2.8),
('ay', 3.0, 3.1),
('g', 3.3, 3.4), ('eh', 3.4, 3.5), ('s', 3.5, 3.6)]
words = [('cats', 0.0, 0.4), ('are', 0.5, 0.7), ('cute', 0.8, 1.1),
('dogs', 2.0, 2.4), ('are', 2.4, 2.6), ('too', 2.6, 2.8),
('i', 3.0, 3.1), ('guess', 3.3, 3.6)]
urs = [('k.ae.t.s', 0.0, 0.4), ('aa.r', 0.5, 0.7), ('k.y.uw.t', 0.8, 1.1),
('d.aa.g.z', 2.0, 2.4), ('aa.r', 2.4, 2.6), ('t.uw', .6, 2.8),
('ay', 3.0, 3.1), ('g.eh.s', 3.3, 3.6)]
levels[0].add(srs)
levels[1].add(words)
levels[2].add(urs)
hierarchy = Hierarchy({'phone':'word', 'word': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_ursr')
return data
def corpus_data_timed():
levels = [
SegmentTier('label', 'phone'),
OrthographyTier('label', 'word'),
GroupingTier('line', 'line')
]
phones = [('k', 0.0, 0.1), ('ae', 0.1, 0.2), ('t', 0.2, 0.3),
('s', 0.3, 0.4), ('aa', 0.5, 0.6), ('r', 0.6, 0.7),
('k', 0.8, 0.9), ('uw', 0.9, 1.0), ('t', 1.0, 1.1),
('d', 2.0, 2.1), ('aa', 2.1, 2.2), ('g', 2.2, 2.3),
('z', 2.3, 2.4), ('aa', 2.4, 2.5), ('r', 2.5, 2.6),
('t', 2.6, 2.7), ('uw', 2.7, 2.8), ('ay', 3.0, 3.1),
('g', 3.3, 3.4), ('eh', 3.4, 3.5), ('s', 3.5, 3.6)]
words = [('cats', 0.0, 0.4), ('are', 0.5, 0.7), ('cute', 0.8, 1.1),
('dogs', 2.0, 2.4), ('are', 2.4, 2.6), ('too', 2.6, 2.8),
('i', 3.0, 3.1), ('guess', 3.3, 3.6)]
lines = [(0.0, 1.1), (2.0, 2.8), (3.0, 3.6)]
levels[0].add(phones)
levels[1].add(words)
levels[2].add(lines)
hierarchy = Hierarchy({'phone': 'word', 'word': 'line', 'line': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_timed')
return data
def subannotation_data():
levels = [SegmentTier('label', 'phone'),
OrthographyTier('label', 'word'),
OrthographyTier('stop_information', 'phone')]
levels[2].subannotation = True
phones = [('k', 0.0, 0.1), ('ae', 0.1, 0.2), ('t', 0.2, 0.3), ('s', 0.3, 0.4),
('aa', 0.5, 0.6), ('r', 0.6, 0.7),
('k', 0.8, 0.9), ('u', 0.9, 1.0), ('t', 1.0, 1.1),
('d', 2.0, 2.1), ('aa', 2.1, 2.2), ('g', 2.2, 2.3), ('z', 2.3, 2.4),
('aa', 2.4, 2.5), ('r', 2.5, 2.6),
('t', 2.6, 2.7), ('uw', 2.7, 2.8),
('ay', 3.0, 3.1),
('g', 3.3, 3.4), ('eh', 3.4, 3.5), ('s', 3.5, 3.6)]
words = [('cats', 0.0, 0.4), ('are', 0.5, 0.7), ('cute', 0.8, 1.1),
('dogs', 2.0, 2.4), ('are', 2.4, 2.6), ('too', 2.6, 2.8),
('i', 3.0, 3.1), ('guess', 3.3, 3.6)]
info = [('burst', 0, 0.05), ('vot', 0.05, 0.1), ('closure', 0.2, 0.25),
('burst', 0.25, 0.26), ('vot', 0.26, 0.3),('closure', 2.2, 2.25),
('burst', 2.25, 2.26), ('vot', 2.26, 2.3),
('voicing_during_closure', 2.2, 2.23),('voicing_during_closure', 2.24, 2.25)]
levels[0].add(phones)
levels[1].add(words)
levels[2].add(info)
hierarchy = Hierarchy({'phone':'word', 'word': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_sub')
return data
def corpus_data_untimed():
levels = [
TextTranscriptionTier("transcription", "word"),
TextOrthographyTier("spelling", "word"),
TextMorphemeTier("morpheme", "word"),
GroupingTier("line", "line"),
]
transcriptions = [
("k.ae.t-s", 0),
("aa.r", 1),
("k.y.uw.t", 2),
("d.aa.g-z", 3),
("aa.r", 4),
("t.uw", 5),
("ay", 6),
("g.eh.s", 7),
]
morphemes = [("cat-PL", 0), ("are", 1), ("cute", 2), ("dog-PL", 3), ("are", 4), ("too", 5), ("i", 6), ("guess", 7)]
words = [("cats", 0), ("are", 1), ("cute", 2), ("dogs", 3), ("are", 4), ("too", 5), ("i", 6), ("guess", 7)]
lines = [(0, 2), (3, 5), (6, 7)]
levels[0].add(transcriptions)
levels[1].add(words)
levels[2].add(morphemes)
levels[3].add(lines)
hierarchy = Hierarchy({"word": "line", "line": None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse("test_untimed")
return data
def subannotation_data():
levels = [
SegmentTier("label", "phone"),
OrthographyTier("label", "word"),
OrthographyTier("stop_information", "phone"),
]
levels[2].subannotation = True
phones = [
("k", 0.0, 0.1),
("ae", 0.1, 0.2),
("t", 0.2, 0.3),
("s", 0.3, 0.4),
("aa", 0.5, 0.6),
("r", 0.6, 0.7),
("k", 0.8, 0.9),
("u", 0.9, 1.0),
("t", 1.0, 1.1),
("d", 2.0, 2.1),
("aa", 2.1, 2.2),
("g", 2.2, 2.3),
("z", 2.3, 2.4),
("aa", 2.4, 2.5),
("r", 2.5, 2.6),
("t", 2.6, 2.7),
("uw", 2.7, 2.8),
("ay", 3.0, 3.1),
("g", 3.3, 3.4),
("eh", 3.4, 3.5),
("s", 3.5, 3.6),
]
words = [
("cats", 0.0, 0.4),
("are", 0.5, 0.7),
("cute", 0.8, 1.1),
("dogs", 2.0, 2.4),
("are", 2.4, 2.6),
("too", 2.6, 2.8),
("i", 3.0, 3.1),
("guess", 3.3, 3.6),
]
info = [
("burst", 0, 0.05),
("vot", 0.05, 0.1),
("closure", 0.2, 0.25),
("burst", 0.25, 0.26),
("vot", 0.26, 0.3),
("closure", 2.2, 2.25),
("burst", 2.25, 2.26),
("vot", 2.26, 2.3),
("voicing_during_closure", 2.2, 2.23),
("voicing_during_closure", 2.24, 2.25),
]
levels[0].add(phones)
levels[1].add(words)
levels[2].add(info)
hierarchy = Hierarchy({"phone": "word", "word": None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse("test_sub")
return data
def corpus_data_ur_sr():
levels = [SegmentTier("sr", "phone"), OrthographyTier("word", "word"), TranscriptionTier("ur", "word")]
srs = [
("k", 0.0, 0.1),
("ae", 0.1, 0.2),
("s", 0.2, 0.4),
("aa", 0.5, 0.6),
("r", 0.6, 0.7),
("k", 0.8, 0.9),
("u", 0.9, 1.1),
("d", 2.0, 2.1),
("aa", 2.1, 2.2),
("g", 2.2, 2.25),
("ah", 2.25, 2.3),
("z", 2.3, 2.4),
("aa", 2.4, 2.5),
("r", 2.5, 2.6),
("t", 2.6, 2.7),
("uw", 2.7, 2.8),
("ay", 3.0, 3.1),
("g", 3.3, 3.4),
("eh", 3.4, 3.5),
("s", 3.5, 3.6),
]
words = [
("cats", 0.0, 0.4),
("are", 0.5, 0.7),
("cute", 0.8, 1.1),
("dogs", 2.0, 2.4),
("are", 2.4, 2.6),
("too", 2.6, 2.8),
("i", 3.0, 3.1),
("guess", 3.3, 3.6),
]
urs = [
("k.ae.t.s", 0.0, 0.4),
("aa.r", 0.5, 0.7),
("k.y.uw.t", 0.8, 1.1),
("d.aa.g.z", 2.0, 2.4),
("aa.r", 2.4, 2.6),
("t.uw", 0.6, 2.8),
("ay", 3.0, 3.1),
("g.eh.s", 3.3, 3.6),
]
levels[0].add(srs)
levels[1].add(words)
levels[2].add(urs)
hierarchy = Hierarchy({"phone": "word", "word": None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse("test_ursr")
return data
def corpus_data_timed():
levels = [SegmentTier("label", "phone"), OrthographyTier("label", "word"), GroupingTier("line", "line")]
phones = [
("k", 0.0, 0.1),
("ae", 0.1, 0.2),
("t", 0.2, 0.3),
("s", 0.3, 0.4),
("aa", 0.5, 0.6),
("r", 0.6, 0.7),
("k", 0.8, 0.9),
("u", 0.9, 1.0),
("t", 1.0, 1.1),
("d", 2.0, 2.1),
("aa", 2.1, 2.2),
("g", 2.2, 2.3),
("z", 2.3, 2.4),
("aa", 2.4, 2.5),
("r", 2.5, 2.6),
("t", 2.6, 2.7),
("uw", 2.7, 2.8),
("ay", 3.0, 3.1),
("g", 3.3, 3.4),
("eh", 3.4, 3.5),
("s", 3.5, 3.6),
]
words = [
("cats", 0.0, 0.4),
("are", 0.5, 0.7),
("cute", 0.8, 1.1),
("dogs", 2.0, 2.4),
("are", 2.4, 2.6),
("too", 2.6, 2.8),
("i", 3.0, 3.1),
("guess", 3.3, 3.6),
]
lines = [(0.0, 1.1), (2.0, 2.8), (3.0, 3.6)]
levels[0].add(phones)
levels[1].add(words)
levels[2].add(lines)
hierarchy = Hierarchy({"phone": "word", "word": "line", "line": None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse("test_timed")
return data
def corpus_data_syllable_morpheme_srur():
levels = [
SegmentTier("sr", "phone"),
TranscriptionTier("ur", "word"),
GroupingTier("syllable", "syllable"),
MorphemeTier("morphemes", "word"),
OrthographyTier("word", "word"),
GroupingTier("line", "line"),
]
srs = [
("b", 0, 0.1),
("aa", 0.1, 0.2),
("k", 0.2, 0.3),
("s", 0.3, 0.4),
("ah", 0.4, 0.5),
("s", 0.5, 0.6),
("er", 0.7, 0.8),
("f", 0.9, 1.0),
("er", 1.0, 1.1),
("p", 1.2, 1.3),
("ae", 1.3, 1.4),
("k", 1.4, 1.5),
("eng", 1.5, 1.6),
]
urs = [("b.aa.k.s-ah.z", 0, 0.6), ("aa.r", 0.7, 0.8), ("f.ao.r", 0.9, 1.1), ("p.ae.k-ih.ng", 1.2, 1.6)]
syllables = [(0, 0.3), (0.3, 0.6), (0.7, 0.8), (0.9, 1.1), (1.2, 1.5), (1.5, 1.6)]
morphemes = [("box-PL", 0, 0.6), ("are", 0.7, 0.8), ("for", 0.9, 1.1), ("pack-PROG", 1.2, 1.6)]
words = [("boxes", 0, 0.6), ("are", 0.7, 0.8), ("for", 0.9, 1.1), ("packing", 1.2, 1.6)]
lines = [(0, 1.6)]
levels[0].add(srs)
levels[1].add(urs)
levels[2].add(syllables)
levels[3].add(morphemes)
levels[4].add(words)
levels[5].add(lines)
hierarchy = Hierarchy({"phone": "syllable", "syllable": "word", "word": "line", "line": None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse("test_syllable_morpheme")
return data
def corpus_data_timed():
levels = [SegmentTier('label', 'phone'),
OrthographyTier('label', 'word'),
GroupingTier('line', 'line')]
phones = [('k', 0.0, 0.1), ('ae', 0.1, 0.2), ('t', 0.2, 0.3), ('s', 0.3, 0.4),
('aa', 0.5, 0.6), ('r', 0.6, 0.7),
('k', 0.8, 0.9), ('uw', 0.9, 1.0), ('t', 1.0, 1.1),
('d', 2.0, 2.1), ('aa', 2.1, 2.2), ('g', 2.2, 2.3), ('z', 2.3, 2.4),
('aa', 2.4, 2.5), ('r', 2.5, 2.6),
('t', 2.6, 2.7), ('uw', 2.7, 2.8),
('ay', 3.0, 3.1),
('g', 3.3, 3.4), ('eh', 3.4, 3.5), ('s', 3.5, 3.6)]
words = [('cats', 0.0, 0.4), ('are', 0.5, 0.7), ('cute', 0.8, 1.1),
('dogs', 2.0, 2.4), ('are', 2.4, 2.6), ('too', 2.6, 2.8),
('i', 3.0, 3.1), ('guess', 3.3, 3.6)]
lines = [(0.0, 1.1), (2.0, 2.8), (3.0, 3.6)]
levels[0].add(phones)
levels[1].add(words)
levels[2].add(lines)
hierarchy = Hierarchy({'phone':'word', 'word': 'line', 'line': None})
parser = BaseParser(levels, hierarchy)
data = parser.parse_discourse('test_timed')
return data
