def find_phoneme_stress(self, phonemes):
# This algorithm should use the same way of counting syllables as the
# Syllabifier but should also remember which one has the stress
# print u'DEBUG: Unmassaged phonemes ',phonemes
phoneme= self._massage_phonetic_word(phonemes[1])
# print u'DEBUG: massaged phonemes: ', phoneme
syllabifyer = Syllabifyer(phoneme, mock = self.mock)
syllabifyer.syllabify()
# WILL ALWAYS ONLY BE ONE WORD
syllables = syllabifyer.get_syllable_set()[0][0]
print u"DEBUG: find_phoneme_stress | Final output: {0}".format(syllables)
i = 0
ss = syllables.split(".")
while i < len(ss):
if "'" in ss[i]:
return i
i += 1
return 0
def find_phoneme_stress(self, phonemes):
# This algorithm should use the same way of counting syllables as the
# Syllabifier but should also remember which one has the stress
# print u'DEBUG: Unmassaged phonemes ',phonemes
phoneme = self._massage_phonetic_word(phonemes[1])
# print u'DEBUG: massaged phonemes: ', phoneme
syllabifyer = Syllabifyer(phoneme, mock=self.mock)
syllabifyer.syllabify()
# WILL ALWAYS ONLY BE ONE WORD
syllables = syllabifyer.get_syllable_set()[0][0]
print u"DEBUG: find_phoneme_stress | Final output: {0}".format(
syllables)
i = 0
ss = syllables.split(".")
while i < len(ss):
if "'" in ss[i]:
return i
i += 1
return 0
def input_to_observations(self):
# STEP 0: Get input from user
# stored in self.user_input
self.get_input()
# STEP 1: Syllabify ortographic text
syllabifyer = Syllabifyer(self.ortographic_text, mock=self.mock)
syllabifyer.syllabify()
self.syllables = syllabifyer.get_syllable_set()
# STEP 1.5: VALIDATE INPUT
self.validate_input(self.user_input, self.syllables)
print
print '\n-----\n'.join(' ||| '.join(y for y in x)
for x in self.syllables)
""" SAME STEP """
# STEP 2: Translate user input to phonetic version (maybe remotely)
self.phonetic_text = self.transcribe_input(
self.ortographic_text,
mode=PhoneticTranscriber.REMOTE,
protocol='UDP',
mock=self.mock)
# IF DEBUG
print "\nPrinting data to validate."
for line in self.phonetic_text:
for w in line:
print u"{0} == became ==> {1}".format(w[0], w[1])
# STEP 3: Syllabify phonetic text (using external binary)
""" /SAME STEP"""
# STEP 4: Fuse together syllables and phoneme syllable (not syllables...) in one
# Observation object
return self.mark_syllables_for_stress(self.syllables,
self.phonetic_text)
def input_to_observations(self):
# STEP 0: Get input from user
# stored in self.user_input
self.get_input()
# STEP 1: Syllabify ortographic text
syllabifyer = Syllabifyer(self.ortographic_text, mock = self.mock)
syllabifyer.syllabify()
self.syllables = syllabifyer.get_syllable_set()
# STEP 1.5: VALIDATE INPUT
self.validate_input(self.user_input, self.syllables)
print
print '\n-----\n'.join(' ||| '.join(y for y in x ) for x in self.syllables)
""" SAME STEP """
# STEP 2: Translate user input to phonetic version (maybe remotely)
self.phonetic_text = self.transcribe_input(self.ortographic_text,
mode = PhoneticTranscriber.REMOTE,
protocol = 'UDP',
mock = self.mock)
# IF DEBUG
print "\nPrinting data to validate."
for line in self.phonetic_text:
for w in line:
print u"{0} == became ==> {1}".format(w[0],w[1])
# STEP 3: Syllabify phonetic text (using external binary)
""" /SAME STEP"""
# STEP 4: Fuse together syllables and phoneme syllable (not syllables...) in one
# Observation object
return self.mark_syllables_for_stress(self.syllables, self.phonetic_text)
