text-data-filtering-2 / normalization.py
HugoLaurencon's picture
first commit
2c00f52
raw
history blame contribute delete
941 Bytes
import re
from typing import Dict
non_printing_characters_re = re.compile(
f"[{''.join(map(chr, list(range(0,32)) + list(range(127,160))))}]"
)
digits_re: re.Pattern = re.compile(r"\d")
unicode_punctuation: Dict[str, str] = {
",": ",",
"。": ".",
"、": ",",
"„": '"',
"”": '"',
"“": '"',
"«": '"',
"»": '"',
"1": '"',
"」": '"',
"「": '"',
"《": '"',
"》": '"',
"´": "'",
"∶": ":",
":": ":",
"?": "?",
"!": "!",
"(": "(",
")": ")",
";": ";",
"–": "-",
"—": " - ",
".": ". ",
"~": "~",
"’": "'",
"…": "...",
"━": "-",
"〈": "<",
"〉": ">",
"【": "[",
"】": "]",
"%": "%",
"►": "-",
}
normalization = {
"non_printing_characters_re": non_printing_characters_re,
"digits_re": digits_re,
"unicode_punctuation": unicode_punctuation,
}