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