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README.md

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* learn and apply [Sentences were encoded using byte-pair encoding](https://github.com/SeonbeomKim/Python-Bype_Pair_Encoding)
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* -num_merges: 35000
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* -final_voca_threshold: 50
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* generated bpe files and voca
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* generate bpe applied files and voca
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## Code
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* transformer.py
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```
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python make_dataset.py
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-mode train
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-source_input_path path/bpe_wmt17.en [bpe text data]
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-source_input_path path/bpe_wmt17.en [bpe applied document data]
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-source_out_path path/source_idx_wmt17_en.csv [bpe idx data]
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-target_input_path path/bpe_wmt17.de [bpe text data]
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-target_input_path path/bpe_wmt17.de [bpe applied document data]
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-target_out_path path/source_idx_wmt17_de.csv [bpe idx data
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-bucket_out_path ./bpe_dataset/train_set_wmt17 [bucket trainset]
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-voca_path voca_path/voca_file_name [bpe voca]
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```
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python make_dataset.py
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-mode infer
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-source_input_path path/bpe_newstest2014.en [bpe text data]
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-source_input_path path/bpe_newstest2014.en [bpe applied document data]
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-source_out_path path/source_idx_newstest2014_en.csv [bpe idx data]
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-target_input_path path/dev.tar/newstest2014.tc.de [original raw data]
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-bucket_out_path ./bpe_dataset/valid_set_newstest2014 [bucket validset]
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```
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python make_dataset.py
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-mode infer
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-source_input_path path/bpe_newstest2015.en [bpe text data]
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-source_input_path path/bpe_newstest2015.en [bpe applied document data]
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-source_out_path path/source_idx_newstest2015_en.csv [bpe idx data]
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-target_input_path path/dev.tar/newstest2015.tc.de [original raw data]
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-bucket_out_path ./bpe_dataset/valid_set_newstest2015 [bucket testset]
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```
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python make_dataset.py
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-mode infer
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-source_input_path path/bpe_newstest2016.en [bpe text data]
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-source_input_path path/bpe_newstest2016.en [bpe applied document data]
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-source_out_path path/source_idx_newstest2016_en.csv [bpe idx data]
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-target_input_path path/dev.tar/newstest2016.tc.de [original raw data]
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-bucket_out_path ./bpe_dataset/valid_set_newstest2016 [bucket testset]

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