We release the first large-scale datasets including in-domain and out-of-domain data for automatic post-editing (APE) for Vietnamese in which we aim at the task of automatic post-editing when translating Chinese novels to Vietnamese.
We show how the datasets got constructed and were utlised to train APE models in our paper:
@inproceedings{Vu2021VnAPE,
title={Automatic Post-Editing for Vietnamese},
author={Vu, Thanh and Nguyen, Dai Quoc},
booktitle={Proceedings of ALTA 2021},
year={2021}
}
Please CITE our paper when the datasets are used (for research-only purpose) to produce published results or incorporated into other software.
| Data | #Sentence pairs | Size | URL |
|---|---|---|---|
| In-domain | ~5M | 440MB | download |
| Out-of-domain | ~5M | 440MB | download |
A simple web-interface demo of post-editing is included and available to download with the model
| Model | Data | Demo? | Size | URL |
|---|---|---|---|---|
| Transformer-large | Indomain | Yes | 2.5G | download |
MIT License
Copyright (c) 2021 Thanh Vu
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