Need help with nonauto-nmt?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

salesforce
222 Stars 35 Forks BSD 3-Clause "New" or "Revised" License 1 Commits 3 Opened issues

Description

PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

Services available

!
?

Need anything else?

Contributors list

Non-Autoregressive Transformer

Code release for Non-Autoregressive Neural Machine Translation by Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Li, and Richard Socher.

Requires PyTorch 0.3, torchtext 0.2.1, and SpaCy.

The pipeline for training a NAT model for a given language pair includes: 1.

run_alignment_wmt_LANG.sh
(runs
fast_align
for alignment supervision) 2.
run_LANG.sh
(trains an autoregressive model) 3.
run_LANG_decode.sh
(produces the distillation corpus for training the NAT) 4.
run_LANG_fast.sh
(trains the NAT model) 5.
run_LANG_fine.sh
(fine-tunes the NAT model)

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.