This is a PyTorch tutorial for the ACL'17 paper A Convolutional Encoder Model for Neural Machine Translation accepted as part of the NIPS Workshop on Learn How to Code A Paper with State of the Art Frameworks
This repository includes
- IPython Notebook of the tutorial
- Poster which gives a high level overview of the paper (We would still recommend you to read the original paper for more details)
(NOTE: We have tested only on Python>=3.5, but it should probably work for python 2.7)
The best(and easiest) way to install pytorch is via the pytorch webpage
For other dependencies, run
pip install -r requirements.txt
jupyter notebook