pytorch implementation of Tardis

Prepare your own pre-processing script. Example of such a script is data/preprocess_wmt.sh. The pre-processing step is borrowed from dl4mt. We own a thank to Orhan Firat, who constantly brags "we have the best data processing pipe-line in the world". Taking a leap of faith, we simply steal his data processing script.

sh data/preprocess_wmt.sh de en . subword-nmt ../wmt20k

After running the script, many additional files are written into wmt20k directory. Then you are set.

Example

python -u train.py --datasets wmt20k/all_de-en.de.tok.bpe wmt20k/all_de-en.en.tok.bpe \
    --valid_datasets wmt20k/newstest2014.de.tok.bpe wmt20k/newstest2014.en.tok.bpe \
    --dicts wmt20k/all_de-en.de.tok.bpe.pkl wmt20k/all_de-en.en.tok.bpe.pkl \
    --emb_size 1024 --rnn_size 1024 --gpus 0 --lr 0.002 --layers 3 --valid_freq 5000 --batch_size 64 \
    --ref wmt20k/newstest2014.en.tok --report_freq 50 --max_generator_batches 32 --saveto tardis20k.pt

Note that, Ke Tran is too lazy to write up the documentation. You probably have to figure it out by yourself. If you have any trouble, pass by his office and offer Ke a cup of expresso before asking any engineering questions. Ke is really angry in general.

• Orhan Firat and dl4mt
• OpenMT
• Ke Tran (for many hours writing this code without being paid)
• Coffee and Cigarettes