How to train

1. Put english corpus (train.txt, dev.txt, test.txt and long_test.txt[optional]) into the data/

2. Edit data/config.json

3. Change directory to src/ and run the following command to preprocess and generate training data.

   python make_dataset.py ../data/

4. Run the following command to prepapre model folder. Feel free to open the models/seq2seq/config.json to tune some hyperparameters.

   mkdir ../models/<your_model_folder>
   cp ../models/seq2seq/config.json ../models/<your_model_folder>

5. Run the following command to start training.

   python train.py ../models/<your_model_folder>/

6. Trained model will saved in the folder models/<your_model_folder>/