This repository provides the implementation for the paper "How to reward non-autoregressive models: Minimum risk training with string-based metrics in NMT", which was written as part of the "Natural Language Processing 2" course at the University of Amsterdam.
This repository is a simplified fairseq extension. For installation, please follow the instructions of fairseq
.
The experiments were executed using the fairseq.ipynb
notebook. Feel free to reach out in case of any questions regarding reproducibility or implementation details.