# 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
# 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.
from logging import getLogger
from nltk import word_tokenize
from overrides import overrides
from deeppavlov.core.common.registry import register
from deeppavlov.core.models.component import Component
log = getLogger(__name__)
"""Tokenizes if there is something to tokenize."""
def __init__(self, **kwargs):
def __call__(self, batch, *args, **kwargs):
if len(batch) > 0 and isinstance(batch, str):
batch = [word_tokenize(utt) for utt in batch]