import regex as re
from ..base_op import OPERATORS, Mapper
[docs]@OPERATORS.register_module('remove_non_chinese_character_mapper')
class RemoveNonChineseCharacterlMapper(Mapper):
"""Mapper to remove non chinese Character in text samples."""
_batched_op = True
[docs] def __init__(self,
keep_alphabet: bool = True,
keep_number: bool = True,
keep_punc: bool = True,
*args,
**kwargs):
"""
Initialization method.
:param keep_alphabet: whether to keep alphabet
:param keep_number: whether to keep number
:param keep_punc: whether to keep punctuation
:param args: extra args
:param kwargs: extra args
"""
super().__init__(*args, **kwargs)
self.pattern = u'[^\u4e00-\u9fa5'
if keep_alphabet:
self.pattern += u'A-Za-z'
if keep_number:
self.pattern += u'0-9'
if keep_punc:
self.pattern += u'., ,\\-。%《*》/•、&&(—)(+):?!!“”·]+'
else:
self.pattern += u']'
[docs] def process_batched(self, samples):
for idx, text in enumerate(samples[self.text_key]):
if not re.search(self.pattern, text, flags=re.DOTALL):
continue
samples[self.text_key][idx] = re.sub(pattern=self.pattern,
repl=r'',
string=text,
flags=re.DOTALL)
return samples