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/*
* Copyright (C) 2018 The Android Open Source Project
*
* 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.
*/
#ifndef NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_LIGHT_SENTENCE_H_
#define NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_LIGHT_SENTENCE_H_
#include <string>
#include <vector>
namespace libtextclassifier3 {
namespace mobile {
namespace lang_id {
// Very simplified alternative to heavy sentence.proto, for the purpose of
// LangId. It turns out that in this case, all we need is a vector of strings,
// which uses a lot less code size than a Sentence proto.
using LightSentence = std::vector<std::string>;
} // namespace lang_id
} // namespace mobile
} // namespace nlp_saft
#endif // NLP_SAFT_COMPONENTS_LANG_ID_MOBILE_LIGHT_SENTENCE_H_