def orthographic_simple_syllabify(word,lang):
p_vectors=[si.get_phonetic_feature_vector(c,lang) for c in word]
syllables=[]
for i in xrange(len(word)):
v=p_vectors[i]
syllables.append(word[i])
## simplified syllabification
if i+1<len(word) and \
(not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
syllables.append(u' ')
elif not si.is_valid(v) or si.is_misc(v) or si.is_vowel(v):
syllables.append(u' ')
elif i+1<len(word) and \
(si.is_consonant(v) or si.is_nukta(v)) and \
(si.is_consonant(p_vectors[i+1]) or si.is_anusvaar(p_vectors[i+1])):
syllables.append(u' ')
return u''.join(syllables).strip().split(u' ')
def orthographic_simple_syllabify(word, lang):
p_vectors = [si.get_phonetic_feature_vector(c, lang) for c in word]
syllables = []
for i in range(len(word)):
v = p_vectors[i]
syllables.append(word[i])
## simplified syllabification
if i+1<len(word) and \
(not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
syllables.append(' ')
elif not si.is_valid(v) or si.is_misc(v) or si.is_vowel(v):
syllables.append(' ')
elif i+1<len(word) and \
(si.is_consonant(v) or si.is_nukta(v)) and \
(si.is_consonant(p_vectors[i+1]) or si.is_anusvaar(p_vectors[i+1])):
syllables.append(' ')
return ''.join(syllables).strip().split(' ')
def orthographic_syllabify(word,lang):
p_vectors=[si.get_phonetic_feature_vector(c,lang) for c in word]
syllables=[]
for i in xrange(len(word)):
v=p_vectors[i]
syllables.append(word[i])
### simplified syllabification
#if i+1<len(word) and \
# (not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
# syllables.append(u' ')
#elif not si.is_valid(v) or si.is_misc(v) or si.is_vowel(v):
# syllables.append(u' ')
#elif i+1<len(word) and \
# (si.is_consonant(v) or si.is_nukta(v)) and \
# (si.is_consonant(p_vectors[i+1]) or si.is_anusvaar(p_vectors[i+1])):
# syllables.append(u' ')
#### better syllabification
if i+1<len(word) and (not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
syllables.append(u' ')
elif not si.is_valid(v) or si.is_misc(v) :
syllables.append(u' ')
elif si.is_vowel(v):
anu_nonplos= ( i+2<len(word) and \
si.is_anusvaar(p_vectors[i+1]) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow= ( i+2==len(word) and \
si.is_anusvaar(p_vectors[i+1]) )
if not(anu_nonplos or anu_eow):
syllables.append(u' ')
elif i+1<len(word) and \
(si.is_consonant(v) or si.is_nukta(v)):
if si.is_consonant(p_vectors[i+1]):
syllables.append(u' ')
elif si.is_vowel(p_vectors[i+1]) and \
not si.is_dependent_vowel(p_vectors[i+1]):
syllables.append(u' ')
elif si.is_anusvaar(p_vectors[i+1]):
anu_nonplos= ( i+2<len(word) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow= i+2==len(word)
if not(anu_nonplos or anu_eow):
syllables.append(u' ')
return u''.join(syllables).strip().split(u' ')
def orthographic_syllabify_improved(word,lang):
word_mask=['0']*len(word)
if lang=='ml':
word, word_mask = normalize_malayalam(word)
word=word
elif lang=='pa':
word, word_mask = normalize_punjabi(word)
p_vectors=[si.get_phonetic_feature_vector(c,lang) for c in word]
syllables=[]
syllables_mask=[]
for i in xrange(len(word)):
v=p_vectors[i]
syllables.append(word[i])
syllables_mask.append(word_mask[i])
### simplified syllabification
#if i+1<len(word) and \
# (not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
# syllables.append(u' ')
# syllables_mask.append(u'0')
#elif not si.is_valid(v) or si.is_misc(v) or si.is_vowel(v):
# syllables.append(u' ')
# syllables_mask.append(u'0')
#elif i+1<len(word) and \
# (si.is_consonant(v) or si.is_nukta(v)) and \
# (si.is_consonant(p_vectors[i+1]) or si.is_anusvaar(p_vectors[i+1])):
# syllables.append(u' ')
# syllables_mask.append(u'0')
#### better syllabification
if i+1<len(word) and (not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
syllables.append(u' ')
syllables_mask.append(u'0')
elif not si.is_valid(v) or si.is_misc(v) :
syllables.append(u' ')
syllables_mask.append(u'0')
elif si.is_vowel(v):
anu_nonplos= ( i+2<len(word) and \
si.is_anusvaar(p_vectors[i+1]) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow= ( i+2==len(word) and \
si.is_anusvaar(p_vectors[i+1]) )
if not(anu_nonplos or anu_eow):
syllables.append(u' ')
syllables_mask.append(u'0')
elif i+1<len(word) and \
(si.is_consonant(v) or si.is_nukta(v)):
if si.is_consonant(p_vectors[i+1]):
syllables.append(u' ')
syllables_mask.append(u'0')
elif si.is_vowel(p_vectors[i+1]) and \
not si.is_dependent_vowel(p_vectors[i+1]):
syllables.append(u' ')
syllables_mask.append(u'0')
elif si.is_anusvaar(p_vectors[i+1]):
anu_nonplos= ( i+2<len(word) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow= i+2==len(word)
if not(anu_nonplos or anu_eow):
syllables.append(u' ')
syllables_mask.append(u'0')
syllables_mask=u''.join(syllables_mask)
syllables=u''.join(syllables)
#assert len(syllables_mask) == len(syllables)
#assert syllables_mask.find('01') == -1
if syllables_mask.find('01') >= 0:
print 'Warning'
if lang=='ml':
syllables = denormalize_malayalam(syllables,syllables_mask)
elif lang=='pa':
syllables = denormalize_punjabi(syllables,syllables_mask)
return syllables.strip().split(u' ')
def orthographic_syllabify(word, lang):
p_vectors = [si.get_phonetic_feature_vector(c, lang) for c in word]
syllables = []
for i in range(len(word)):
v = p_vectors[i]
syllables.append(word[i])
### simplified syllabification
#if i+1<len(word) and \
# (not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
# syllables.append(u' ')
#elif not si.is_valid(v) or si.is_misc(v) or si.is_vowel(v):
# syllables.append(u' ')
#elif i+1<len(word) and \
# (si.is_consonant(v) or si.is_nukta(v)) and \
# (si.is_consonant(p_vectors[i+1]) or si.is_anusvaar(p_vectors[i+1])):
# syllables.append(u' ')
#### better syllabification
if i + 1 < len(word) and (not si.is_valid(p_vectors[i + 1])
or si.is_misc(p_vectors[i + 1])):
syllables.append(' ')
elif not si.is_valid(v) or si.is_misc(v):
syllables.append(' ')
elif si.is_vowel(v):
anu_nonplos= ( i+2<len(word) and \
si.is_anusvaar(p_vectors[i+1]) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow= ( i+2==len(word) and \
si.is_anusvaar(p_vectors[i+1]) )
if not (anu_nonplos or anu_eow):
syllables.append(' ')
elif i+1<len(word) and \
(si.is_consonant(v) or si.is_nukta(v)):
if si.is_consonant(p_vectors[i + 1]):
syllables.append(' ')
elif si.is_vowel(p_vectors[i+1]) and \
not si.is_dependent_vowel(p_vectors[i+1]):
syllables.append(' ')
elif si.is_anusvaar(p_vectors[i + 1]):
anu_nonplos= ( i+2<len(word) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow = i + 2 == len(word)
if not (anu_nonplos or anu_eow):
syllables.append(' ')
return ''.join(syllables).strip().split(' ')
def orthographic_syllabify_improved(word, lang):
word_mask = ['0'] * len(word)
if lang == 'ml':
word, word_mask = normalize_malayalam(word)
word = word
elif lang == 'pa':
word, word_mask = normalize_punjabi(word)
p_vectors = [si.get_phonetic_feature_vector(c, lang) for c in word]
syllables = []
syllables_mask = []
for i in range(len(word)):
v = p_vectors[i]
syllables.append(word[i])
syllables_mask.append(word_mask[i])
### simplified syllabification
#if i+1<len(word) and \
# (not si.is_valid(p_vectors[i+1]) or si.is_misc(p_vectors[i+1])):
# syllables.append(u' ')
# syllables_mask.append(u'0')
#elif not si.is_valid(v) or si.is_misc(v) or si.is_vowel(v):
# syllables.append(u' ')
# syllables_mask.append(u'0')
#elif i+1<len(word) and \
# (si.is_consonant(v) or si.is_nukta(v)) and \
# (si.is_consonant(p_vectors[i+1]) or si.is_anusvaar(p_vectors[i+1])):
# syllables.append(u' ')
# syllables_mask.append(u'0')
#### better syllabification
if i + 1 < len(word) and (not si.is_valid(p_vectors[i + 1])
or si.is_misc(p_vectors[i + 1])):
syllables.append(' ')
syllables_mask.append('0')
elif not si.is_valid(v) or si.is_misc(v):
syllables.append(' ')
syllables_mask.append('0')
elif si.is_vowel(v):
anu_nonplos= ( i+2<len(word) and \
si.is_anusvaar(p_vectors[i+1]) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow= ( i+2==len(word) and \
si.is_anusvaar(p_vectors[i+1]) )
if not (anu_nonplos or anu_eow):
syllables.append(' ')
syllables_mask.append('0')
elif i+1<len(word) and \
(si.is_consonant(v) or si.is_nukta(v)):
if si.is_consonant(p_vectors[i + 1]):
syllables.append(' ')
syllables_mask.append('0')
elif si.is_vowel(p_vectors[i+1]) and \
not si.is_dependent_vowel(p_vectors[i+1]):
syllables.append(' ')
syllables_mask.append('0')
elif si.is_anusvaar(p_vectors[i + 1]):
anu_nonplos= ( i+2<len(word) and \
not si.is_plosive(p_vectors[i+2])\
)
anu_eow = i + 2 == len(word)
if not (anu_nonplos or anu_eow):
syllables.append(' ')
syllables_mask.append('0')
syllables_mask = ''.join(syllables_mask)
syllables = ''.join(syllables)
#assert len(syllables_mask) == len(syllables)
#assert syllables_mask.find('01') == -1
if syllables_mask.find('01') >= 0:
print('Warning')
if lang == 'ml':
syllables = denormalize_malayalam(syllables, syllables_mask)
elif lang == 'pa':
syllables = denormalize_punjabi(syllables, syllables_mask)
return syllables.strip().split(' ')