The implementation of "Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation"
This code is based on Fairseq v0.6.2
- PyTorch version >= 1.0.0
- Python version >= 3.6
pip3 install -r requirements.txtpython3 setup.py developpython3 setup.py install
bash runs/prepare-en2ru.sh
bash runs/train-en2ru.sh baseline
bash runs/train-en2ru.sh inside-context
bash runs/train-en2ru.sh outside-context
bash runs/train-en2ru.sh gaussian
bash runs/translate-en2ru.sh baseline
bash runs/translate-en2ru.sh inside-context
bash runs/translate-en2ru.sh outside-context
bash runs/translate-en2ru.sh gaussian
@inproceedings{li-etal-2020-multi, title = "Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation", author = "Li, Bei and Liu, Hui and Wang, Ziyang and Jiang, Yufan and Xiao, Tong and Zhu, Jingbo and Liu, Tongran and li, changliang", booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2020", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.acl-main.322", pages = "3512--3518", }