Marian is an efficient Neural Machine Translation framework written in pure C++ with minimal dependencies.
Named in honour of Marian Rejewski, a Polish mathematician and cryptologist.
Main features:
Efficient pure C++ implementation
Fast multi-GPU training and GPU/CPU translation
State-of-the-art NMT architectures: deep RNN and transformer
Permissive open source license (MIT)
If you use this, please cite:
Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, Alexandra Birch (2018). Marian: Fast Neural Machine Translation in C++ (
http://www.aclweb.org/anthology/P18-4020
)
@InProceedings{mariannmt, title = {Marian: Fast Neural Machine Translation in {C++}}, author = {Junczys-Dowmunt, Marcin and Grundkiewicz, Roman and Dwojak, Tomasz and Hoang, Hieu and Heafield, Kenneth and Neckermann, Tom and Seide, Frank and Germann, Ulrich and Fikri Aji, Alham and Bogoychev, Nikolay and Martins, Andr\'{e} F. T. and Birch, Alexandra}, booktitle = {Proceedings of ACL 2018, System Demonstrations}, pages = {116--121}, publisher = {Association for Computational Linguistics}, year = {2018}, month = {July}, address = {Melbourne, Australia}, url = {http://www.aclweb.org/anthology/P18-4020} } Amun
The handwritten decoder for RNN models compatible with Marian and Nematus has been superseded by the Marian decoder. The code is available in a separate repository:
https://github.com/marian-nmt/amun
Website
More information on
Installation and usage documentation
Acknowledgements
The development of Marian received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreements 688139 (
; 2016-2019), 645487 (
; 2015-2017), 644333 (
; 2015-2017), 644402 (
; 2015-2017), 825303 (
; 2019-2021), the European Union's Connecting Europe Facility project 2019-EU-IA-0045 (
; 2020-2022), the Amazon Academic Research Awards program, the World Intellectual Property Organization, and is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract #FA8650-17-C-9117.
This software contains source code provided by NVIDIA Corporation.