This project contains pre-processing scripts and Transformer baseline training scripts using pytorch/fairseq for WMT 2017 Machine Translation of News Chinese->English track. The model reaches 20 BLEU on testing dataset, after training for only 2 epochs (18 hours on 6 NVIDIA Tesla K40M), while the SOTA result is about 24 BLEU.
In order to run the pre-processing script, we need first download all dataset required in the WMT 2017 MT task, and place them in ./dataset/ folder. Please remove all other irrelevant language pairs files for convenience.
The pre-processing script followed the steps describes in Hany Hassan et.al. 2018 except the second step. The pre-processing script will get 17.8M bilingual sentence pairs as it's described in the paper. After BPE with 32K merge operations, 50K and 33K will be in the Chinese and English vocabularies separately.
Please modify the fairseq-preprocess command in prepare.sh to specify the number of cpu workers according to the real situation of your machine.
Please also read the instruction in prepare.sh!
Refering to this issue, we provide script draw_curve.py.
.
├── test
│ ├── newstest2017-zhen-ref.en.sgm
│ └── newstest2017-zhen-src.zh.sgm
├── train
│ ├── NJU-newsdev2017-zhen
│ │ ├── newsdev2017-zhen-ref.en.sgm
│ │ ├── newsdev2017-zhen-src.zh.sgm
│ │ └── readme.txt
│ ├── United\ Nations\ Parallel-enzh
│ │ ├── DISCLAIMER
│ │ ├── README
│ │ ├── UNv1.0.en-zh.en
│ │ ├── UNv1.0.en-zh.ids
│ │ ├── UNv1.0.en-zh.zh
│ │ └── UNv1.0.pdf
│ ├── casia2015
│ │ ├── casia2015_ch.txt
│ │ └── casia2015_en.txt
│ ├── casict2011
│ │ ├── casict-A_ch.txt
│ │ ├── casict-A_en.txt
│ │ ├── casict-B_ch.txt
│ │ ├── casict-B_en.txt
│ │ └── readme.txt
│ ├── casict2015
│ │ ├── casict2015_ch.txt
│ │ └── casict2015_en.txt
│ ├── datum2015
│ │ ├── datum_ch.txt
│ │ ├── datum_en.txt
│ │ └── readme.txt
│ ├── datum2017
│ │ ├── Book10_cn.txt
│ │ ├── Book10_en.txt
│ │ ├── Book11_cn.txt
│ │ ├── Book11_en.txt
│ │ ├── Book12_cn.txt
│ │ ├── Book12_en.txt
│ │ ├── Book13_cn.txt
│ │ ├── Book13_en.txt
│ │ ├── Book14_cn.txt
│ │ ├── Book14_en.txt
│ │ ├── Book15_cn.txt
│ │ ├── Book15_en.txt
│ │ ├── Book16_cn.txt
│ │ ├── Book16_en.txt
│ │ ├── Book17_cn.txt
│ │ ├── Book17_en.txt
│ │ ├── Book18_cn.txt
│ │ ├── Book18_en.txt
│ │ ├── Book19_cn.txt
│ │ ├── Book19_en.txt
│ │ ├── Book1_cn.txt
│ │ ├── Book1_en.txt
│ │ ├── Book20_cn.txt
│ │ ├── Book20_en.txt
│ │ ├── Book2_cn.txt
│ │ ├── Book2_en.txt
│ │ ├── Book3_cn.txt
│ │ ├── Book3_en.txt
│ │ ├── Book4_cn.txt
│ │ ├── Book4_en.txt
│ │ ├── Book5_cn.txt
│ │ ├── Book5_en.txt
│ │ ├── Book6_cn.txt
│ │ ├── Book6_en.txt
│ │ ├── Book7_cn.txt
│ │ ├── Book7_en.txt
│ │ ├── Book8_cn.txt
│ │ ├── Book8_en.txt
│ │ ├── Book9_cn.txt
│ │ └── Book9_en.txt
│ ├── neu2017
│ │ ├── NEU_cn.txt
│ │ └── NEU_en.txt
│ └── training-parallel-nc-v13
│ ├── news-commentary-v13.zh-en.en
│ └── news-commentary-v13.zh-en.zh
└── valid
├── newsdev2017-zhen-ref.en.sgm
└── newsdev2017-zhen-src.zh.sgm
12 directories, 70 files