Larger-Context NMT
In this version, we introduce a coverage mechanism (NMT-Coverage) to indicate whether a source word is translated or not, which proves to alleviate over-translation and under-translation. If you use the code, please cite our paper:
@InProceedings{Tu:2016:ACL,
author = {Wang, Longyue and Tu, Zhaopeng and Way, Andy and Liu Qun},
title = {Exploiting Cross-Sentence Context for Neural Machine Translation},
booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
year = {2017},
}
For any comments or questions, please email Longyue Wang and Zhaopeng Tu.
NMT-Coverage is developed by Zhaopeng Tu, which is on top of lisa-groudhog (https://github.com/lisa-groundhog/GroundHog). It requires Theano0.8 or above version (for the module "scan" used in the trainer).
To install NMT-Coverage in a multi-user setting
python setup.py develop --user
For general installation, simply use
python setup.py develop
NOTE: This will install the development version of Theano, if Theano is not currently installed.