Source code for deeppavlov.models.preprocessors.dirty_comments_preprocessor
# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re
import string
from typing import List
from deeppavlov.core.common.registry import register
from deeppavlov.core.models.component import Component
[docs]@register('dirty_comments_preprocessor')
class DirtyCommentsPreprocessor(Component):
"""
Class implements preprocessing of english texts with low level of literacy such as comments
"""
def __init__(self, remove_punctuation: bool = True, *args, **kwargs):
self.remove_punctuation = remove_punctuation
[docs] def __call__(self, batch: List[str], **kwargs) -> List[str]:
"""
Preprocess given batch
Args:
batch: list of text samples
**kwargs: additional arguments
Returns:
list of preprocessed text samples
"""
f = [x.lower() for x in batch]
f = [re.sub("<\S*>", " ", x) for x in f]
f = [re.sub('\s+', ' ', x) for x in f]
f = [x.replace("won't", "will not") for x in f]
f = [x.replace("can't", "cannot") for x in f]
f = [x.replace("i'm", "i am") for x in f]
f = [x.replace(" im ", " i am ") for x in f]
f = [x.replace("'re", " are") for x in f]
f = [x.replace("ain't", "is not") for x in f]
f = [x.replace("'ll", " will") for x in f]
f = [x.replace("n't", " not") for x in f]
f = [x.replace("'ve", " have") for x in f]
f = [x.replace("'s", " is") for x in f]
f = [x.replace("'d", " would") for x in f]
f = [re.sub("ies( |$)", "y ", x) for x in f]
f = [re.sub("s( |$)", " ", x) for x in f]
f = [re.sub("ing( |$)", " ", x) for x in f]
f = [x.replace(" u ", " you ") for x in f]
f = [x.replace(" em ", " them ") for x in f]
f = [x.replace(" da ", " the ") for x in f]
f = [x.replace(" yo ", " you ") for x in f]
f = [x.replace(" ur ", " your ") for x in f]
f = [x.replace(" u r ", " you are ") for x in f]
f = [x.replace(" urs ", " yours ") for x in f]
f = [x.replace("y'all", "you all") for x in f]
f = [x.replace(" r u ", " are you ") for x in f]
f = [x.replace(" r you", " are you") for x in f]
f = [x.replace(" are u ", " are you ") for x in f]
f = [x.replace("\\n", " ") for x in f]
f = [x.replace("\\t", " ") for x in f]
f = [x.replace("\\xa0", " ") for x in f]
f = [x.replace("\\xc2", " ") for x in f]
f = [re.sub("[0-9]+", " 0 ", x) for x in f]
f = [re.sub(r'([' + string.printable + r'])\1{3,}', r'\1\1', x).strip() for x in f]
if self.remove_punctuation:
f = [re.sub(r'([' + string.punctuation + '])', ' ', x) for x in f]
f = [re.sub(' +', ' ', x) for x in f]
return f