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"""Set of default text cleaners"""
# TODO: pick the cleaner for languages dynamically
import re
# Regular expression matching whitespace:
_whitespace_re = re.compile(r"\s+")
rep_map = {
"：": ",",
"；": ",",
"，": ",",
"。": ".",
"！": "!",
"？": "?",
"\n": ".",
"·": ",",
"、": ",",
"...": ".",
"…": ".",
"$": ".",
"“": "'",
"”": "'",
"‘": "'",
"’": "'",
"（": "'",
"）": "'",
"(": "'",
")": "'",
"《": "'",
"》": "'",
"【": "'",
"】": "'",
"[": "'",
"]": "'",
"—": "",
"～": "-",
"~": "-",
"「": "'",
"」": "'",
}
def replace_punctuation(text):
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
return replaced_text
def lowercase(text):
return text.lower()
def collapse_whitespace(text):
return re.sub(_whitespace_re, " ", text).strip()
def remove_punctuation_at_begin(text):
return re.sub(r'^[,.!?]+', '', text)
def remove_aux_symbols(text):
text = re.sub(r"[\<\>\(\)\[\]\"\«\»\']+", "", text)
return text
def replace_symbols(text, lang="en"):
"""Replace symbols based on the lenguage tag.
Args:
text:
Input text.
lang:
Lenguage identifier. ex: "en", "fr", "pt", "ca".
Returns:
The modified text
example:
input args:
text: "si l'avi cau, diguem-ho"
lang: "ca"
Output:
text: "si lavi cau, diguemho"
"""
text = text.replace(";", ",")
text = text.replace("-", " ") if lang != "ca" else text.replace("-", "")
text = text.replace(":", ",")
if lang == "en":
text = text.replace("&", " and ")
elif lang == "fr":
text = text.replace("&", " et ")
elif lang == "pt":
text = text.replace("&", " e ")
elif lang == "ca":
text = text.replace("&", " i ")
text = text.replace("'", "")
elif lang== "es":
text=text.replace("&","y")
text = text.replace("'", "")
return text
def spanish_cleaners(text):
"""Basic pipeline for Portuguese text. There is no need to expand abbreviation and
numbers, phonemizer already does that"""
text = lowercase(text)
text = replace_symbols(text, lang="es")
text = replace_punctuation(text)
text = remove_aux_symbols(text)
text = remove_punctuation_at_begin(text)
text = collapse_whitespace(text)
text = re.sub(r'([^\.,!\?\-…])$', r'\1.', text)
return text
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