def correct_text(self, text: str, batch_size: int = 20):
"""
Correct all the words within a text, returning the corrected text.
Parameters
----------
text: str
batch_size: int, optional(default=20)
batch size to insert into model.
Returns
-------
result: str
"""
if batch_size < 1:
raise ValueError('batch_size must be bigger than 0')
text = re.sub('[^a-zA-Z]+', ' ', text)
string = re.sub(r'[ ]+', ' ', text).strip()
strings = []
for no, word in enumerate(string.split()):
if not word[0].isupper():
word = case_of(word)(self.correct(word.lower(),
string,
no,
batch_size=batch_size))
strings.append(word)
return ' '.join(strings)
def stem(self, string: str, beam_search: bool = False):
"""
Stem a string, this also include lemmatization.
Parameters
----------
string : str
beam_search : bool, (optional=False)
If True, use beam search decoder, else use greedy decoder.
Returns
-------
result: str
"""
tokenized = self._tokenizer(string)
result, batch, actual, mapping = [], [], [], {}
for no, word in enumerate(tokenized):
if word in '~@#$%^&*()_+{}|[:"\'];<>,.?/-':
result.append(word)
elif (re.findall(_money, word.lower())
or re.findall(_date, word.lower())
or re.findall(_expressions['time'], word.lower())
or re.findall(_expressions['hashtag'], word.lower())
or re.findall(_expressions['url'], word.lower())
or re.findall(_expressions['user'], word.lower())):
result.append(word)
else:
mapping[len(batch)] = no
result.append('REPLACE-ME')
actual.append(word)
batch.append(word.lower())
if len(batch):
batch = self._bpe.bpe.encode(batch, output_type=self._bpe.mode)
batch = [i + [1] for i in batch]
batch = pad_sentence_batch(batch, 0)[0]
if beam_search:
output = 'beam'
else:
output = 'greedy'
r = self._execute(
inputs=[batch],
input_labels=['Placeholder'],
output_labels=[output],
)
output = r[output].tolist()
for no, o in enumerate(output):
predicted = list(dict.fromkeys(o))
predicted = (self._bpe.bpe.decode(predicted)[0].replace(
'<EOS>', '').replace('<PAD>', ''))
predicted = case_of(actual[no])(predicted)
result[mapping[no]] = predicted
return ' '.join(result)
def correct_word(self, word: str, string: str, batch_size: int = 20):
"""
Spell-correct word in match, and preserve proper upper/lower/title case.
"""
return case_of(word)(self.correct(word.lower(),
string,
batch_size=batch_size))
def correct_match(self, match):
"""
Spell-correct word in match, and preserve proper upper/lower/title case.
"""
word = match.group()
if word[0].isupper():
return word
return case_of(word)(self.correct(word.lower()))
def stem(self, string: str, beam_search: bool = True):
"""
Stem a string.
Parameters
----------
string : str
beam_search : bool, (optional=True)
If True, use beam search decoder, else use greedy decoder.
Returns
-------
result: str
"""
tokenized = self._tokenizer(string)
result, batch, actual, mapping = [], [], [], {}
for no, word in enumerate(tokenized):
if word in '~@#$%^&*()_+{}|[:"\'];<>,.?/-':
result.append(word)
elif (
re.findall(_money, word.lower())
or re.findall(_date, word.lower())
or re.findall(_expressions['time'], word.lower())
or re.findall(_expressions['hashtag'], word.lower())
or re.findall(_expressions['url'], word.lower())
or re.findall(_expressions['user'], word.lower())
):
result.append(word)
else:
mapping[len(batch)] = no
result.append('REPLACE-ME')
actual.append(word)
batch.append(word.lower())
if len(batch):
batch = self._bpe.encode(batch, output_type = self._subword_mode)
batch = [i + [1] for i in batch]
batch = pad_sentence_batch(batch, 0)[0]
if beam_search:
output = self._beam
else:
output = self._greedy
output = self._sess.run(output, feed_dict = {self._X: batch})
output = output.tolist()
for no, o in enumerate(output):
predicted = list(dict.fromkeys(o))
predicted = self._bpe.decode(predicted)[0].replace('<EOS>', '')
predicted = case_of(actual[no])(predicted)
result[mapping[no]] = predicted
return ' '.join(result)
def correct_word(self, word: str):
"""
Spell-correct word in match, and preserve proper upper/lower/title case.
Parameters
----------
word: str
Returns
-------
result: str
"""
return case_of(word)(self.correct(word.lower()))
def correct_match(self, match: str):
"""
Spell-correct word in match, and preserve proper upper/lower/title case.
Parameters
----------
match: str
Returns
-------
result: str
"""
word = match.group()
if word[0].isupper():
return word
return case_of(word)(self.correct(word.lower()))
def correct_word(self, word: str, string: str, batch_size: int = 20):
"""
Spell-correct word in match, and preserve proper upper/lower/title case.
Parameters
----------
word: str
string: str
Entire string, `word` must a word inside `string`.
batch_size: int, optional(default=20)
batch size to insert into model.
Returns
-------
result: str
"""
return case_of(word)(self.correct(word.lower(),
string,
batch_size=batch_size))
def normalize_elongated(self, word):
return case_of(word)(self.best_elong_candidate(word.lower()))
def correct_word(self, word: str):
"""
Spell-correct word in match, and preserve proper upper/lower/title case.
"""
return case_of(word)(self.correct(word.lower()))
def normalize(
self,
string: str,
check_english: bool = True,
normalize_text: bool = True,
normalize_entity: bool = True,
normalize_url: bool = False,
normalize_email: bool = False,
normalize_year: bool = True,
normalize_telephone: bool = True,
logging: bool = False,
):
"""
Normalize a string.
Parameters
----------
string : str
check_english: bool, (default=True)
check a word in english dictionary.
normalize_text: bool, (default=True)
if True, will try to replace shortforms with internal corpus.
normalize_entity: bool, (default=True)
normalize entities, only effect `date`, `datetime`, `time` and `money` patterns string only.
normalize_url: bool, (default=False)
if True, replace `://` with empty and `.` with `dot`.
`https://huseinhouse.com` -> `https huseinhouse dot com`.
normalize_email: bool, (default=False)
if True, replace `@` with `di`, `.` with `dot`.
`[email protected]` -> `husein dot zol kosong lima di gmail dot com`.
normalize_year: bool, (default=True)
if True, `tahun 1987` -> `tahun sembilan belas lapan puluh tujuh`.
if True, `1970-an` -> `sembilan belas tujuh puluh an`.
if False, `tahun 1987` -> `tahun seribu sembilan ratus lapan puluh tujuh`.
normalize_telephone: bool, (default=True)
if True, `no 012-1234567` -> `no kosong satu dua, satu dua tiga empat lima enam tujuh`
logging: bool, (default=False)
if True, will log index and token queue using `logging.warn`.
Returns
-------
string: normalized string
"""
string = ' '.join(self._tokenizer(string))
string = groupby(string)
if normalize_text:
string = replace_laugh(string)
string = replace_mengeluh(string)
string = _replace_compoud(string)
if hasattr(self._speller, 'normalize_elongated'):
string = [
self._speller.normalize_elongated(word) if
len(re.findall(r'(.)\1{1}', word)) and not word[0].isupper()
and not word.lower().startswith('ke-')
and not _is_number_regex(word) else word
for word in string.split()
]
string = ' '.join(string)
result, normalized = [], []
tokenized = self._tokenizer(string)
index = 0
while index < len(tokenized):
word = tokenized[index]
word_lower = word.lower()
word_upper = word.upper()
first_c = word[0].isupper()
if logging:
s = f'index: {index}, word: {word}, queue: {result}'
warn(s)
if word in '~@#$%^&*()_+{}|[:"\'];<>,.?/-':
result.append(word)
index += 1
continue
normalized.append(rules_normalizer.get(word_lower, word_lower))
if word_lower in ignore_words:
result.append(word)
index += 1
continue
if first_c and not len(re.findall(_money, word_lower)):
if word_lower in rules_normalizer and normalize_text:
result.append(case_of(word)(rules_normalizer[word_lower]))
index += 1
continue
elif word_upper not in ['KE', 'PADA', 'RM', 'SEN', 'HINGGA']:
result.append(
_normalize_title(word) if normalize_text else word)
index += 1
continue
if check_english:
if word_lower in ENGLISH_WORDS:
result.append(word)
index += 1
continue
if word_lower in MALAY_WORDS and word_lower not in ['pada', 'ke']:
result.append(word)
index += 1
continue
if len(word) > 2:
if word[-2] in consonants and word[-1] == 'e':
word = word[:-1] + 'a'
if word[0] == 'x' and len(word) > 1:
result_string = 'tak '
word = word[1:]
else:
result_string = ''
if word_lower == 'ke' and index < (len(tokenized) - 2):
if tokenized[index + 1] == '-' and _is_number_regex(
tokenized[index + 2]):
result.append(
ordinal(word + tokenized[index + 1] +
tokenized[index + 2]))
index += 3
continue
elif tokenized[index + 1] == '-' and re.match(
'.*(V|X|I|L|D)', tokenized[index + 2]):
result.append(
ordinal(word + tokenized[index + 1] +
str(rom_to_int(tokenized[index + 2]))))
index += 3
continue
else:
result.append('ke')
index += 1
continue
if _is_number_regex(word) and index < (len(tokenized) - 2):
if tokenized[index + 1] == '-' and _is_number_regex(
tokenized[index + 2]):
result.append(
to_cardinal(_string_to_num(word)) + ' hingga ' +
to_cardinal(_string_to_num(tokenized[index + 2])))
index += 3
continue
if word_lower == 'pada' and index < (len(tokenized) - 3):
if (_is_number_regex(tokenized[index + 1])
and tokenized[index + 2] in '/-'
and _is_number_regex(tokenized[index + 3])):
result.append('pada %s hari bulan %s' % (
to_cardinal(_string_to_num(tokenized[index + 1])),
to_cardinal(_string_to_num(tokenized[index + 3])),
))
index += 4
continue
if (word_lower in ['tahun', 'thun'] and index <
(len(tokenized) - 1) and normalize_year):
if (_is_number_regex(tokenized[index + 1])
and len(tokenized[index + 1]) == 4):
t = tokenized[index + 1]
if t[1] != '0':
l = to_cardinal(int(t[:2]))
r = to_cardinal(int(t[2:]))
c = f'{l} {r}'
else:
c = to_cardinal(int(t))
if (index < (len(tokenized) - 3)
and tokenized[index + 2] == '-'
and tokenized[index + 3].lower() == 'an'):
end = 'an'
plus = 4
else:
end = ''
plus = 2
result.append(f'tahun {c}{end}')
index += plus
continue
if _is_number_regex(word) and index < (len(tokenized) - 2):
if tokenized[index + 1] == '/' and _is_number_regex(
tokenized[index + 2]):
result.append(
fraction(word + tokenized[index + 1] +
tokenized[index + 2]))
index += 3
continue
if (tokenized[index + 1] == '-'
and tokenized[index + 2].lower() == 'an'
and normalize_year and len(word) == 4):
t = word
if t[1] != '0':
l = to_cardinal(int(t[:2]))
r = to_cardinal(int(t[2:]))
c = f'{l} {r}'
else:
c = to_cardinal(int(t))
result.append(f'{c}an')
index += 3
continue
if re.findall(_money, word_lower):
money_, _ = money(word)
result.append(money_)
if index < (len(tokenized) - 1):
if tokenized[index + 1].lower() in ('sen', 'cent'):
index += 2
else:
index += 1
else:
index += 1
continue
if re.findall(_date, word_lower):
word = word_lower
word = multireplace(word, date_replace)
word = re.sub(r'[ ]+', ' ', word).strip()
parsed = dateparser.parse(word)
if parsed:
result.append(parsed.strftime('%d/%m/%Y'))
else:
result.append(word)
index += 1
continue
if re.findall(_expressions['time'], word_lower):
word = word_lower
word = multireplace(word, date_replace)
word = re.sub(r'[ ]+', ' ', word).strip()
parsed = dateparser.parse(word)
if parsed:
result.append(parsed.strftime('%H:%M:%S'))
else:
result.append(word)
index += 1
continue
if re.findall(_expressions['hashtag'], word_lower):
result.append(word)
index += 1
continue
if re.findall(_expressions['url'], word_lower):
if normalize_url:
word = word.replace('://', ' ').replace('.', ' dot ')
word = put_spacing_num(word)
result.append(word)
index += 1
continue
if re.findall(_expressions['email'], word_lower):
if normalize_email:
word = (word.replace('://', ' ').replace('.',
' dot ').replace(
'@', ' di '))
word = put_spacing_num(word)
result.append(word)
index += 1
continue
if re.findall(_expressions['phone'], word_lower):
if normalize_telephone:
splitted = word.split('-')
left = put_spacing_num(splitted[0])
right = put_spacing_num(splitted[1])
word = f'{left}, {right}'
result.append(word)
index += 1
continue
if re.findall(_expressions['user'], word_lower):
result.append(word)
index += 1
continue
if (re.findall(_expressions['temperature'], word_lower)
or re.findall(_expressions['distance'], word_lower)
or re.findall(_expressions['volume'], word_lower)
or re.findall(_expressions['duration'], word_lower)
or re.findall(_expressions['weight'], word_lower)):
word = word.replace(' ', '')
result.append(digit_unit(word))
index += 1
continue
cardinal_ = cardinal(word)
if cardinal_ != word:
result.append(cardinal_)
index += 1
continue
normalized_ke = ordinal(word)
if normalized_ke != word:
result.append(normalized_ke)
index += 1
continue
word, end_result_string = _remove_postfix(word)
word, repeat = check_repeat(word)
if normalize_text:
if word in sounds:
selected = sounds[word]
elif word in rules_normalizer:
selected = rules_normalizer[word]
elif self._speller:
selected = self._speller.correct(
word, string=' '.join(tokenized), index=index)
else:
selected = word
else:
selected = word
selected = '-'.join([selected] * repeat)
result.append(result_string + selected + end_result_string)
index += 1
result = ' '.join(result)
normalized = ' '.join(normalized)
if normalize_entity:
dates_, money_ = normalized_entity(normalized)
else:
dates_, money_ = {}, {}
return {'normalize': result, 'date': dates_, 'money': money_}
def normalize(
self,
string: str,
normalize_text: bool = True,
normalize_entity: bool = True,
normalize_url: bool = False,
normalize_email: bool = False,
normalize_year: bool = True,
normalize_telephone: bool = True,
normalize_date: bool = True,
normalize_time: bool = True,
check_english_func=is_english,
check_malay_func=is_malay,
**kwargs,
):
"""
Normalize a string.
Parameters
----------
string : str
normalize_text: bool, (default=True)
if True, will try to replace shortforms with internal corpus.
normalize_entity: bool, (default=True)
normalize entities, only effect `date`, `datetime`, `time` and `money` patterns string only.
normalize_url: bool, (default=False)
if True, replace `://` with empty and `.` with `dot`.
`https://huseinhouse.com` -> `https huseinhouse dot com`.
normalize_email: bool, (default=False)
if True, replace `@` with `di`, `.` with `dot`.
`[email protected]` -> `husein dot zol kosong lima di gmail dot com`.
normalize_year: bool, (default=True)
if True, `tahun 1987` -> `tahun sembilan belas lapan puluh tujuh`.
if True, `1970-an` -> `sembilan belas tujuh puluh an`.
if False, `tahun 1987` -> `tahun seribu sembilan ratus lapan puluh tujuh`.
normalize_telephone: bool, (default=True)
if True, `no 012-1234567` -> `no kosong satu dua, satu dua tiga empat lima enam tujuh`
normalize_date: bool, (default=True)
if True, `01/12/2001` -> `satu disember dua ribu satu`.
if True, `Jun 2017` -> `satu Jun dua ribu tujuh belas`.
if True, `2017 Jun` -> `satu Jun dua ribu tujuh belas`.
if False, `2017 Jun` -> `01/06/2017`.
if False, `Jun 2017` -> `01/06/2017`.
normalize_time: bool, (default=True)
if True, `pukul 2.30` -> `pukul dua tiga puluh minit`.
if False, `pukul 2.30` -> `'02:00:00'`
check_english_func: Callable, (default=malaya.text.is_english)
function to check a word in english dictionary, default is malaya.text.is_english.
check_malay_func: Callable, (default=malaya.text.is_malay)
function to check a word in malay dictionary, default is malaya.text.is_malay.
Returns
-------
string: {'normalize', 'date', 'money'}
"""
tokenized = self._tokenizer(string)
s = f'tokenized: {tokenized}'
logger.debug(s)
string = ' '.join(tokenized)
string = groupby(string)
if normalize_text:
string = replace_laugh(string)
string = replace_mengeluh(string)
string = _replace_compound(string)
if hasattr(self._speller, 'normalize_elongated'):
string = [
self._speller.normalize_elongated(word)
if len(re.findall(r'(.)\1{1}', word))
and not word[0].isupper()
and not word.lower().startswith('ke-')
and not _is_number_regex(word)
else word
for word in string.split()
]
string = ' '.join(string)
result, normalized = [], []
tokenized = self._tokenizer(string)
index = 0
while index < len(tokenized):
word = tokenized[index]
word_lower = word.lower()
word_upper = word.upper()
first_c = word[0].isupper()
s = f'index: {index}, word: {word}, queue: {result}'
logger.debug(s)
if word in '~@#$%^&*()_+{}|[:"\'];<>,.?/-':
s = f'index: {index}, word: {word}, condition punct'
logger.debug(s)
result.append(word)
index += 1
continue
normalized.append(rules_normalizer.get(word_lower, word_lower))
if word_lower in ignore_words:
s = f'index: {index}, word: {word}, condition ignore words'
logger.debug(s)
result.append(word)
index += 1
continue
if (
first_c
and not len(re.findall(_expressions['money'], word_lower))
and not len(re.findall(_expressions['date'], word_lower))
):
s = f'index: {index}, word: {word}, condition not in money and date'
logger.debug(s)
if word_lower in rules_normalizer and normalize_text:
result.append(case_of(word)(rules_normalizer[word_lower]))
index += 1
continue
elif word_upper not in ['KE', 'PADA', 'RM', 'SEN', 'HINGGA']:
result.append(
_normalize_title(word) if normalize_text else word
)
index += 1
continue
if check_english_func is not None:
s = f'index: {index}, word: {word}, condition check english'
logger.debug(s)
if check_english_func(word_lower):
result.append(word)
index += 1
continue
if check_malay_func is not None:
s = f'index: {index}, word: {word}, condition check malay'
logger.debug(s)
if check_malay_func(word_lower) and word_lower not in ['pada', 'ke']:
result.append(word)
index += 1
continue
if len(word) > 2 and normalize_text:
s = f'index: {index}, word: {word}, condition len(word) > 2 and norm text'
logger.debug(s)
if word[-2] in consonants and word[-1] == 'e':
word = word[:-1] + 'a'
if word[0] == 'x' and len(word) > 1 and normalize_text:
s = f'index: {index}, word: {word}, condition word[0] == `x` and len(word) > 1 and norm text'
logger.debug(s)
result_string = 'tak '
word = word[1:]
else:
s = f'index: {index}, word: {word}, condition else for (word[0] == `x` and len(word) > 1 and norm text)'
logger.debug(s)
result_string = ''
if word_lower == 'ke' and index < (len(tokenized) - 2):
s = f'index: {index}, word: {word}, condition ke'
logger.debug(s)
if tokenized[index + 1] == '-' and _is_number_regex(
tokenized[index + 2]
):
result.append(
ordinal(
word + tokenized[index + 1] + tokenized[index + 2]
)
)
index += 3
continue
elif tokenized[index + 1] == '-' and re.match(
'.*(V|X|I|L|D)', tokenized[index + 2]
):
result.append(
ordinal(
word
+ tokenized[index + 1]
+ str(rom_to_int(tokenized[index + 2]))
)
)
index += 3
continue
else:
result.append('ke')
index += 1
continue
if _is_number_regex(word) and index < (len(tokenized) - 2):
s = f'index: {index}, word: {word}, condition hingga'
logger.debug(s)
if tokenized[index + 1] == '-' and _is_number_regex(
tokenized[index + 2]
):
result.append(
to_cardinal(_string_to_num(word))
+ ' hingga '
+ to_cardinal(_string_to_num(tokenized[index + 2]))
)
index += 3
continue
if word_lower == 'pada' and index < (len(tokenized) - 3):
s = f'index: {index}, word: {word}, condition pada hari bulan'
logger.debug(s)
if (
_is_number_regex(tokenized[index + 1])
and tokenized[index + 2] in '/-'
and _is_number_regex(tokenized[index + 3])
):
result.append(
'pada %s hari bulan %s'
% (
to_cardinal(_string_to_num(tokenized[index + 1])),
to_cardinal(_string_to_num(tokenized[index + 3])),
)
)
index += 4
continue
if (
word_lower in ['tahun', 'thun']
and index < (len(tokenized) - 1)
and normalize_year
):
s = f'index: {index}, word: {word}, condition tahun'
logger.debug(s)
if (
_is_number_regex(tokenized[index + 1])
and len(tokenized[index + 1]) == 4
):
t = tokenized[index + 1]
if t[1] != '0':
l = to_cardinal(int(t[:2]))
r = to_cardinal(int(t[2:]))
c = f'{l} {r}'
else:
c = to_cardinal(int(t))
if (
index < (len(tokenized) - 3)
and tokenized[index + 2] == '-'
and tokenized[index + 3].lower() == 'an'
):
end = 'an'
plus = 4
else:
end = ''
plus = 2
result.append(f'tahun {c}{end}')
index += plus
continue
if _is_number_regex(word) and index < (len(tokenized) - 2):
s = f'index: {index}, word: {word}, condition fraction'
logger.debug(s)
if tokenized[index + 1] == '/' and _is_number_regex(
tokenized[index + 2]
):
result.append(
fraction(
word + tokenized[index + 1] + tokenized[index + 2]
)
)
index += 3
continue
if (
tokenized[index + 1] == '-'
and tokenized[index + 2].lower() == 'an'
and normalize_year
and len(word) == 4
):
t = word
if t[1] != '0':
l = to_cardinal(int(t[:2]))
r = to_cardinal(int(t[2:]))
c = f'{l} {r}'
else:
c = to_cardinal(int(t))
result.append(f'{c}an')
index += 3
continue
if re.findall(_expressions['money'], word_lower):
s = f'index: {index}, word: {word}, condition money'
logger.debug(s)
money_, _ = money(word)
result.append(money_)
if index < (len(tokenized) - 1):
if tokenized[index + 1].lower() in ('sen', 'cent'):
index += 2
else:
index += 1
else:
index += 1
continue
if re.findall(_expressions['date'], word_lower):
s = f'index: {index}, word: {word}, condition date'
logger.debug(s)
word = word_lower
word = multireplace(word, date_replace)
word = re.sub(r'[ ]+', ' ', word).strip()
try:
s = f'index: {index}, word: {word}, parsing date'
logger.debug(s)
parsed = dateparser.parse(word)
if parsed:
word = parsed.strftime('%d/%m/%Y')
if normalize_date:
day, month, year = word.split('/')
day = cardinal(day)
month = bulan[int(month)].title()
year = cardinal(year)
word = f'{day} {month} {year}'
except Exception as e:
logger.warning(str(e))
result.append(word)
index += 1
continue
if (
re.findall(_expressions['time'], word_lower)
or re.findall(_expressions['time_pukul'], word_lower)
):
s = f'index: {index}, word: {word}, condition time'
logger.debug(s)
word = word_lower
word = multireplace(word, date_replace)
word = re.sub(r'[ ]+', ' ', word).strip()
try:
s = f'index: {index}, word: {word}, parsing time'
logger.debug(s)
parsed = dateparser.parse(word.replace('.', ':'))
if parsed:
word = parsed.strftime('%H:%M:%S')
if normalize_time:
hour, minute, second = word.split(':')
hour = cardinal(hour)
if int(minute) > 0:
minute = cardinal(minute)
minute = f'{minute} minit'
else:
minute = ''
if int(second) > 0:
second = cardinal(second)
second = f'{second} saat'
else:
second = ''
word = f'pukul {hour} {minute} {second}'
word = re.sub(r'[ ]+', ' ', word).strip()
except Exception as e:
logger.warning(str(e))
result.append(word)
index += 1
continue
if re.findall(_expressions['hashtag'], word_lower):
s = f'index: {index}, word: {word}, condition hashtag'
logger.debug(s)
result.append(word)
index += 1
continue
if re.findall(_expressions['url'], word_lower):
s = f'index: {index}, word: {word}, condition url'
logger.debug(s)
if normalize_url:
word = word.replace('://', ' ').replace('.', ' dot ')
word = put_spacing_num(word)
word = word.replace('https', 'HTTPS').replace('http', 'HTTP').replace('www', 'WWW')
result.append(word)
index += 1
continue
if re.findall(_expressions['email'], word_lower):
s = f'index: {index}, word: {word}, condition email'
logger.debug(s)
if normalize_email:
word = (
word.replace('://', ' ')
.replace('.', ' dot ')
.replace('@', ' di ')
)
word = put_spacing_num(word)
result.append(word)
index += 1
continue
if re.findall(_expressions['phone'], word_lower):
s = f'index: {index}, word: {word}, condition phone'
logger.debug(s)
if normalize_telephone:
splitted = word.split('-')
if len(splitted) == 2:
left = put_spacing_num(splitted[0])
right = put_spacing_num(splitted[1])
word = f'{left}, {right}'
result.append(word)
index += 1
continue
if re.findall(_expressions['user'], word_lower):
s = f'index: {index}, word: {word}, condition user'
logger.debug(s)
result.append(word)
index += 1
continue
if (
re.findall(_expressions['temperature'], word_lower)
or re.findall(_expressions['distance'], word_lower)
or re.findall(_expressions['volume'], word_lower)
or re.findall(_expressions['duration'], word_lower)
or re.findall(_expressions['weight'], word_lower)
):
s = f'index: {index}, word: {word}, condition units'
logger.debug(s)
word = word.replace(' ', '')
result.append(digit_unit(word))
index += 1
continue
if (
re.findall(_expressions['percent'], word_lower)
):
s = f'index: {index}, word: {word}, condition percent'
logger.debug(s)
word = word.replace('%', '')
result.append(cardinal(word) + ' peratus')
index += 1
continue
if re.findall(_expressions['ic'], word_lower):
s = f'index: {index}, word: {word}, condition IC'
logger.debug(s)
result.append(digit(word))
index += 1
continue
if (
re.findall(_expressions['number'], word_lower)
and word_lower[0] == '0'
and '.' not in word_lower
):
s = f'index: {index}, word: {word}, condition digit and word[0] == `0`'
logger.debug(s)
result.append(digit(word))
index += 1
continue
cardinal_ = cardinal(word)
if cardinal_ != word:
s = f'index: {index}, word: {word}, condition cardinal'
logger.debug(s)
result.append(cardinal_)
index += 1
continue
normalized_ke = ordinal(word)
if normalized_ke != word:
s = f'index: {index}, word: {word}, condition normalized ke'
logger.debug(s)
result.append(normalized_ke)
index += 1
continue
word, end_result_string = _remove_postfix(word)
if normalize_text:
word, repeat = check_repeat(word)
else:
repeat = 1
if normalize_text:
s = f'index: {index}, word: {word}, condition normalize text'
logger.debug(s)
if word in sounds:
selected = sounds[word]
elif word in rules_normalizer:
selected = rules_normalizer[word]
elif self._speller:
selected = self._speller.correct(
word, string=' '.join(tokenized), index=index
)
else:
selected = word
else:
selected = word
selected = '-'.join([selected] * repeat)
result.append(result_string + selected + end_result_string)
index += 1
result = ' '.join(result)
normalized = ' '.join(normalized)
if normalize_entity:
dates_, money_ = normalized_entity(normalized)
else:
dates_, money_ = {}, {}
return {'normalize': result, 'date': dates_, 'money': money_}
def normalize(
self,
string: str,
check_english: bool = True,
normalize_entity: bool = True,
):
"""
Normalize a string
Parameters
----------
string : str
check_english: bool, (default=True)
check a word in english dictionary.
normalize_entity: bool, (default=True)
normalize entities, only effect `date`, `datetime`, `time` and `money` patterns string only.
Returns
-------
string: normalized string
"""
string = groupby(string)
string = replace_laugh(string)
string = replace_mengeluh(string)
string = _replace_compoud(string)
if hasattr(self._speller, 'normalize_elongated'):
string = [
self._speller.normalize_elongated(word) if
len(re.findall(r'(.)\1{1}', word)) and not word[0].isupper()
and not word.lower().startswith('ke-') else word
for word in string.split()
]
string = ' '.join(string)
result, normalized = [], []
tokenized = self._tokenizer(string)
index = 0
while index < len(tokenized):
word = tokenized[index]
word_lower = word.lower()
word_upper = word.upper()
first_c = word[0].isupper()
if word in '~@#$%^&*()_+{}|[:"\'];<>,.?/-':
result.append(word)
index += 1
continue
normalized.append(rules_normalizer.get(word_lower, word_lower))
if word_lower in ignore_words:
result.append(word)
index += 1
continue
if first_c and not len(re.findall(_money, word_lower)):
if word_lower in rules_normalizer:
result.append(case_of(word)(rules_normalizer[word_lower]))
index += 1
continue
elif word_upper not in ['KE', 'PADA', 'RM', 'SEN', 'HINGGA']:
result.append(_normalize_title(word))
index += 1
continue
if check_english:
if word_lower in ENGLISH_WORDS:
result.append(word)
index += 1
continue
if word_lower in MALAY_WORDS and word_lower not in ['pada', 'ke']:
result.append(word)
index += 1
continue
if len(word) > 2:
if word[-2] in consonants and word[-1] == 'e':
word = word[:-1] + 'a'
if word[0] == 'x' and len(word) > 1:
result_string = 'tak '
word = word[1:]
else:
result_string = ''
if word.lower() == 'ke' and index < (len(tokenized) - 2):
if tokenized[index + 1] == '-' and _is_number_regex(
tokenized[index + 2]):
result.append(
ordinal(word + tokenized[index + 1] +
tokenized[index + 2]))
index += 3
continue
elif tokenized[index + 1] == '-' and re.match(
'.*(V|X|I|L|D)', tokenized[index + 2]):
result.append(
ordinal(word + tokenized[index + 1] +
str(rom_to_int(tokenized[index + 2]))))
index += 3
continue
else:
result.append('ke')
index += 1
continue
if _is_number_regex(word) and index < (len(tokenized) - 2):
if tokenized[index + 1] == '-' and _is_number_regex(
tokenized[index + 2]):
result.append(
to_cardinal(_string_to_num(word)) + ' hingga ' +
to_cardinal(_string_to_num(tokenized[index + 2])))
index += 3
continue
if word.lower() == 'pada' and index < (len(tokenized) - 3):
if (_is_number_regex(tokenized[index + 1])
and tokenized[index + 2] in '/-'
and _is_number_regex(tokenized[index + 3])):
result.append('pada %s hari bulan %s' % (
to_cardinal(_string_to_num(tokenized[index + 1])),
to_cardinal(_string_to_num(tokenized[index + 3])),
))
index += 4
continue
else:
result.append('pada')
index += 1
continue
if _is_number_regex(word) and index < (len(tokenized) - 2):
if tokenized[index + 1] == '/' and _is_number_regex(
tokenized[index + 2]):
result.append(
fraction(word + tokenized[index + 1] +
tokenized[index + 2]))
index += 3
continue
if re.findall(_money, word_lower):
money_, _ = money(word)
result.append(money_)
if index < (len(tokenized) - 1):
if tokenized[index + 1].lower() in ('sen', 'cent'):
index += 2
else:
index += 1
else:
index += 1
continue
if re.findall(_date, word_lower):
word = word_lower
word = multireplace(word, date_replace)
word = re.sub(r'[ ]+', ' ', word).strip()
parsed = dateparser.parse(word)
if parsed:
result.append(parsed.strftime('%d/%m/%Y'))
else:
result.append(word)
index += 1
continue
if re.findall(_expressions['time'], word_lower):
word = word_lower
word = multireplace(word, date_replace)
word = re.sub(r'[ ]+', ' ', word).strip()
parsed = dateparser.parse(word)
if parsed:
result.append(parsed.strftime('%H:%M:%S'))
else:
result.append(word)
index += 1
continue
if re.findall(_expressions['hashtag'], word_lower):
result.append(word)
index += 1
continue
if re.findall(_expressions['url'], word_lower):
result.append(word)
index += 1
continue
if re.findall(_expressions['user'], word_lower):
result.append(word)
index += 1
continue
if (re.findall(_expressions['temperature'], word_lower)
or re.findall(_expressions['distance'], word_lower)
or re.findall(_expressions['volume'], word_lower)
or re.findall(_expressions['duration'], word_lower)
or re.findall(_expressions['weight'], word_lower)):
word = word.replace(' ', '')
result.append(digit_unit(word))
index += 1
continue
cardinal_ = cardinal(word)
if cardinal_ != word:
result.append(cardinal_)
index += 1
continue
normalized_ke = ordinal(word)
if normalized_ke != word:
result.append(normalized_ke)
index += 1
continue
word, end_result_string = _remove_postfix(word)
word, repeat = check_repeat(word)
if word in sounds:
selected = sounds[word]
elif word in rules_normalizer:
selected = rules_normalizer[word]
else:
selected = self._speller.correct(word,
string=' '.join(tokenized),
index=index)
selected = ' - '.join([selected] * repeat)
result.append(result_string + selected + end_result_string)
index += 1
result = ' '.join(result)
normalized = ' '.join(normalized)
if normalize_entity:
dates_, money_ = normalized_entity(normalized)
else:
dates_, money_ = {}, {}
return {'normalize': result, 'date': dates_, 'money': money_}