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// Copyright 2016 Google Inc.
//
// 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 BPE_MODEL_H_
#define BPE_MODEL_H_
#include "builtin_pb/sentencepiece_model.pb.h"
#include "model_interface.h"
namespace sentencepiece {
namespace bpe {
// Segmentation model with BPE (Byte Pair Encoding)
// Details:
// Neural Machine Translation of Rare Words with Subword Units
// https://arxiv.org/abs/1508.07909
//
// https://en.wikipedia.org/wiki/Byte_pair_encoding
class Model : public ModelInterface {
public:
explicit Model(const ModelProto &model_proto);
~Model() override;
EncodeResult Encode(absl::string_view normalized) const override {
return SampleEncode(normalized, 0.0);
}
// Sampling with BPE-dropout: https://arxiv.org/pdf/1910.13267.pdf
// `alpha` is merge probability in BPE-dropout paper.
// Skips merge operation with `alpha` probability.
// When alpha <= 0.0, no sampling is performed.
EncodeResult SampleEncode(absl::string_view normalized,
float alpha) const override;
bool IsSampleEncodeAvailable() const override { return true; }
bool IsNBestEncodeAvailable() const override { return false; }
};
} // namespace bpe
} // namespace sentencepiece
#endif // BPE_MODEL_H_
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