Marian: Fast Neural Machine Translation in C++ - ACL …
WEB5 days ago · We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is …
[1804.00344] Marian: Fast Neural Machine Translation in C
WEBApr 1, 2018 · We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++.
- Author: Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckerm...
- Cite as: arXiv:1804.00344 [cs.CL]
- Publish Year: 2018
- Comments: Demonstration paper
marian-nmt/marian: Fast Neural Machine Translation in C
- Marian is an efficient Neural Machine Translation framework written in pure C++ with minimal d…
Named in honour of Marian Rejewski, a Polish mathematician and cryptologist. - Main features:
•Efficient pure C++ implementation
- Marian is an efficient Neural Machine Translation framework written in pure C++ with minimal d…
Marian :: Home
WEBMarian is an efficient, free Neural Machine Translation framework written in pure C++ with minimal dependencies. It is mainly being developed by the Microsoft Translator team.
Marian :: Documentation - GitHub Pages
WEBMarian - an efficient Neural Machine Translation framework written in pure C++. Mainly developed at Microsoft Translator and at the University of Edinburgh. Marian is licensed under the MIT license .
Marian :: Features & Benchmarks - GitHub Pages
WEBMarian achieves about 4 times faster training on a single GPU and about 30 times faster training on 8 GPUs for identical models. Marian - an efficient Neural Machine Translation framework written in pure C++.
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marian-nmt · GitHub
WEBFast Neural Machine Translation in C++. marian-nmt has 38 repositories available. Follow their code on GitHub.
WEBWe present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++. We describe the de-sign of the encoder-decoder framework and demonstrate that a research-friendly toolkit can …
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