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"""Module to convert phonemes."""
def multi_character_tokenize(line, multi_character_tokens):
"""Tries to match one of the tokens in multi_character_tokens at each position of line, starting at position 0,
if so tokenizes and eats that token. Otherwise tokenizes a single character"""
while line != '':
for token in multi_character_tokens:
if line.startswith(token) and len(token) > 0:
yield token
line = line[len(token):]
break
else:
yield line[:1]
line = line[1:]
def split_word(word, phoneset):
"""
split a line by given phoneset.
Args:
word (str): a word written in given phoneset.
#multi_character_phones (list): the list of multicharacter phones which is considered as one phone. this can be obtained with phoneset definition such as fame_ipa.py.
phoneset (list): the list of phones.
Returns:
(word_seperated) (list): the word splitted in given phoneset.
"""
multi_character_phones = extract_multi_character_phones(phoneset)
return [phone
for phone in multi_character_tokenize(word.strip(), multi_character_phones)
]
def convert_phoneset(word_list, translation_key):
"""
Args:
word_list (str): a list of phones written in given phoneset.
translation_key (dict):
"""
return [translation_key.get(phone, phone) for phone in word_list]
def phone_reduction(phones, reduction_key):
multi_character_tokenize(wo.strip(), multi_character_phones)
return [reduction_key.get(i, i) for i in phones
if not i in phones_to_be_removed]
def extract_multi_character_phones(phoneset):
"""
Args:
phoneset (list):
"""
multi_character_phones = [i for i in phoneset if len(i) > 1]
multi_character_phones.sort(key=len, reverse=True)
return multi_character_phones