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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from typing import List
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from .char_convert import tranditional_to_simplified
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from .chronology import RE_DATE
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from .chronology import RE_DATE2
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from .chronology import RE_TIME
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from .chronology import RE_TIME_RANGE
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from .chronology import replace_date
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from .chronology import replace_date2
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from .chronology import replace_time
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from .constants import F2H_ASCII_LETTERS
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from .constants import F2H_DIGITS
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from .constants import F2H_SPACE
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from .num import RE_DECIMAL_NUM
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from .num import RE_DEFAULT_NUM
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from .num import RE_FRAC
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from .num import RE_INTEGER
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from .num import RE_NUMBER
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from .num import RE_PERCENTAGE
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from .num import RE_POSITIVE_QUANTIFIERS
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from .num import RE_RANGE
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from .num import replace_default_num
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from .num import replace_frac
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from .num import replace_negative_num
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from .num import replace_number
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from .num import replace_percentage
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from .num import replace_positive_quantifier
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from .num import replace_range
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from .phonecode import RE_MOBILE_PHONE
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from .phonecode import RE_NATIONAL_UNIFORM_NUMBER
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from .phonecode import RE_TELEPHONE
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from .phonecode import replace_mobile
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from .phonecode import replace_phone
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from .quantifier import RE_TEMPERATURE
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from .quantifier import replace_measure
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from .quantifier import replace_temperature
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class TextNormalizer():
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def __init__(self):
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self.SENTENCE_SPLITOR = re.compile(r'([：、，；。？！,;?!][”’]?)')
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def _split(self, text: str, lang="zh") -> List[str]:
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"""Split long text into sentences with sentence-splitting punctuations.
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Args:
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text (str): The input text.
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Returns:
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List[str]: Sentences.
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"""
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# Only for pure Chinese here
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if lang == "zh":
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text = text.replace(" ", "")
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# 过滤掉特殊字符
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text = re.sub(r'[《》【】<=>{}()（）#&@“”^_|…\\]', '', text)
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text = self.SENTENCE_SPLITOR.sub(r'\1\n', text)
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text = text.strip()
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sentences = [sentence.strip() for sentence in re.split(r'\n+', text)]
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return sentences
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def _post_replace(self, sentence: str) -> str:
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sentence = sentence.replace('/', '每')
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sentence = sentence.replace('~', '至')
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sentence = sentence.replace('～', '至')
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sentence = sentence.replace('①', '一')
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sentence = sentence.replace('②', '二')
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sentence = sentence.replace('③', '三')
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sentence = sentence.replace('④', '四')
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sentence = sentence.replace('⑤', '五')
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sentence = sentence.replace('⑥', '六')
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sentence = sentence.replace('⑦', '七')
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sentence = sentence.replace('⑧', '八')
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sentence = sentence.replace('⑨', '九')
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sentence = sentence.replace('⑩', '十')
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return sentence
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def normalize_sentence(self, sentence: str) -> str:
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# basic character conversions
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sentence = tranditional_to_simplified(sentence)
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sentence = sentence.translate(F2H_ASCII_LETTERS).translate(
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F2H_DIGITS).translate(F2H_SPACE)
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# number related NSW verbalization
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sentence = RE_DATE.sub(replace_date, sentence)
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sentence = RE_DATE2.sub(replace_date2, sentence)
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# range first
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sentence = RE_TIME_RANGE.sub(replace_time, sentence)
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sentence = RE_TIME.sub(replace_time, sentence)
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sentence = RE_TEMPERATURE.sub(replace_temperature, sentence)
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sentence = replace_measure(sentence)
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sentence = RE_FRAC.sub(replace_frac, sentence)
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sentence = RE_PERCENTAGE.sub(replace_percentage, sentence)
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sentence = RE_MOBILE_PHONE.sub(replace_mobile, sentence)
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sentence = RE_TELEPHONE.sub(replace_phone, sentence)
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sentence = RE_NATIONAL_UNIFORM_NUMBER.sub(replace_phone, sentence)
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sentence = RE_RANGE.sub(replace_range, sentence)
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sentence = RE_INTEGER.sub(replace_negative_num, sentence)
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sentence = RE_DECIMAL_NUM.sub(replace_number, sentence)
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sentence = RE_POSITIVE_QUANTIFIERS.sub(replace_positive_quantifier,
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sentence)
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sentence = RE_DEFAULT_NUM.sub(replace_default_num, sentence)
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sentence = RE_NUMBER.sub(replace_number, sentence)
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sentence = self._post_replace(sentence)
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return sentence
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def normalize(self, text: str) -> List[str]:
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sentences = self._split(text)
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sentences = [self.normalize_sentence(sent) for sent in sentences]
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return sentences
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