def to_phonetics(self):
"""
>>> stanza = "Ein sat hon úti,\\nþá er inn aldni kom\\nyggjungr ása\\nok í augu leit.\\nHvers fregnið mik?\\nHví freistið mín?\\nAllt veit ek, Óðinn,\\nhvar þú auga falt,\\ní inum mæra\\nMímisbrunni.\\nDrekkr mjöð Mímir\\nmorgun hverjan\\naf veði Valföðrs.\\nVituð ér enn - eða hvat?"
>>> us = UnspecifiedStanza()
>>> us.from_short_lines_text(stanza)
>>> us.to_phonetics()
>>> us.transcribed_text
[['[ɛin]', '[sat]', '[hɔn]', '[uːti]'], ['[θaː]', '[ɛr]', '[inː]', '[aldni]', '[kɔm]'], ['[ygːjunɣr]', '[aːsa]'], ['[ɔk]', '[iː]', '[ɒuɣu]', '[lɛit]'], ['[hvɛrs]', '[frɛɣnið]', '[mik]'], ['[hviː]', '[frɛistið]', '[miːn]'], ['[alːt]', '[vɛit]', '[ɛk]', '[oːðinː]'], ['[hvar]', '[θuː]', '[ɒuɣa]', '[falt]'], ['[iː]', '[inum]', '[mɛːra]'], ['[miːmisbrunːi]'], ['[drɛkːr]', '[mjœð]', '[miːmir]'], ['[mɔrɣun]', '[hvɛrjan]'], ['[av]', '[vɛði]', '[valvœðrs]'], ['[vituð]', '[eːr]', '[ɛnː]', '[ɛða]', '[hvat]']]
:return:
"""
transcriber = Transcriber(
old_norse_transcription.DIPHTHONGS_IPA,
old_norse_transcription.DIPHTHONGS_IPA_class,
old_norse_transcription.IPA_class,
old_norse_transcription.old_norse_rules,
)
transcribed_text = []
phonological_features_text = []
for short_line in self.short_lines:
assert isinstance(short_line, ShortLine) or isinstance(
short_line, LongLine)
short_line.to_phonetics(transcriber)
transcribed_text.append(short_line.transcribed)
phonological_features_text.append(
short_line.phonological_features_text)
self.transcribed_text = transcribed_text
self.phonological_features_text = phonological_features_text
def to_phonetics(self):
"""
Transcribing words in verse helps find alliteration.
"""
if len(self.long_lines) == 0:
logger.error("No text has been imported")
self.syllabified_text = []
else:
transcriber = Transcriber(
old_norse_transcription.DIPHTHONGS_IPA,
old_norse_transcription.DIPHTHONGS_IPA_class,
old_norse_transcription.IPA_class,
old_norse_transcription.old_norse_rules,
)
transcribed_text = []
phonological_features_text = []
for i, long_line in enumerate(self.long_lines):
transcribed_text.append([])
phonological_features_text.append([])
for short_line in long_line:
assert isinstance(short_line, ShortLine) or isinstance(
short_line, LongLine)
short_line.to_phonetics(transcriber)
transcribed_text[i].append(short_line.transcribed)
phonological_features_text[i].append(
short_line.phonological_features_text)
self.transcribed_text = transcribed_text
self.phonological_features_text = phonological_features_text
def __init__(self):
self.syllabifier = Syllabifier(language="old_norse_ipa")
self.tr = Transcriber(DIPHTHONGS_IPA, DIPHTHONGS_IPA_class, IPA_class,
old_norse_rules)
self.tagger = POSTag('old_norse')
from cltk.corpus.old_norse.syllabifier import invalid_onsets, VOWELS, CONSONANTS, LONG_VOWELS, BACK_TO_FRONT_VOWELS
from cltk.inflection.utils import Number
from cltk.phonology.utils import Length, Transcriber
from cltk.inflection.old_norse.phonemic_rules import apply_i_umlaut, apply_u_umlaut, add_r_ending
__author__ = [
"Clément Besnier <*****@*****.**>",
]
s = Syllabifier(language="old_norse", break_geminants=True)
s.set_invalid_onsets(invalid_onsets)
s_ipa = Syllabifier(language="old_norse_ipa", break_geminants=True)
s_ipa.set_invalid_onsets(invalid_onsets)
transcriber = Transcriber(DIPHTHONGS_IPA, DIPHTHONGS_IPA_class, IPA_class,
old_norse_rules)
class Person(Enum):
first = auto()
second = auto()
third = auto()
class Mood(Enum):
infinitive = auto()
imperative = auto()
indicative = auto()
subjunctive = auto()
supine = auto()
present_participle = auto()