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Fan, Kai
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README.md

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@@ -11,7 +11,7 @@ This repository provides an unofficial released implementation of paper ["Biling
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2. Preprocessing including tokenization, lowercasing, and vocabulary files.
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3. The parallel data can be stored in `data/para`, and the example vocab files are in folder `data/vocab`.
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4. Run `./expert_train.sh` to train bilingual expert model, and due to the large dataset, we provide the multi GPU implementation.
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5. Download the [QE dataset](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2619). An example dataset of De-En has been downloaded and preprocessed in folder `data/qe`.
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5. Download the [QE dataset](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2619). An example dataset of sentence level De-En QE task has been downloaded and preprocessed in folder `data/qe`, including human features (If no human feature is prepared, set the argument `--use_hf=False`).
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6. Run `./qe_train.sh` to train the quality estimation model, and due to the small dataset, we only provide the single GPU implementation.
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7. Run `./qe_infer.sh` to make the inference on dataset without labels.
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